Statistical tests of the primality of some numbers look similar to statistical tests of many nonmathematical, clearly empirical propositions. Yet interpretations of probability prima facie appear to preclude the possibility of statistical tests of mathematical propositions. For example, it is hard to understand how the statement that n is prime could have a frequentist probability other than 0 or 1. On the other hand, subjectivist approaches appear to be saddled with ‘coherence’ constraints on rational probabilities that require (...) rational agents to assign extremal probabilities to logical and mathematical propositions. In the light of these problems, many philosophers have come to think that there must be some way to generalize a Bayesian statistical account. In this article I propose that a classical frequentist approach should be reconsidered. I conclude that we can give a conditional justification of statistical testing of at least some mathematical hypotheses: if statistical tests provide us with reasons to believe or bet on empirical hypotheses in the standard situations, then they also provide us with reasons to believe or bet on mathematical hypotheses in the structurally similar mathematical cases. (shrink)

Combining information from two or possibly several blocks of data is gaining increased attention and importance in several areas of science and industry. Typical examples can be found in chemistry, spectroscopy, metabolomics, genomics, systems biology and sensory science. Many methods and procedures have been proposed and used in practice. The area goes under different names: data integration, data fusion, multiblock analyses, multiset analyses and a few more. This book is an attempt to give an up-to-date treatment of (...) the most used and important methods within an important branch of the area; namely methods based on so-called components or latent variables. These methods have already obtained an enormous attention in for instance chemometrics, bioinformatics, machine learning and sensometrics and have proved to be important both for prediction and interpretation. The book is primarily a description of methodologies, but most of the methods will be illustrated by examples from the above-mentioned areas. The book is written such that both users of the methods as well as method developers will hopefully find sections of interest. In the end of the book there is a description of a software package developed particularly for the book. This package is freely available in R and covers many of the methods discussed. To distinguish the different type of methods from each other, the book is divided into five parts. Part I is introduction and preliminary concepts. Part II is the core of the book containing the main unsupervised and supervised methods. Part III deals with more complex structures and, finally, Part IV discusses alternative unsupervised and supervised methods. The book ends with Part V discussing the available software. Our recommendation for reading the book are as follows. A minimum read of the book would involve chapters 1, 2, 3, 5 and 7. Chapters 4, 6 and 8 are more specialized and chapters 9 and 10 contain methods we think are more advanced or less obvious to use. We feel privileged to have so many friendly colleagues who were willing to spend their time on helping us to improve the book by reading separate chapters. We would like to express our thanks to: Rasmus Bro, Margriet Hendriks, Ulf Indahl, Henk Kiers, Ingrid MaÌ⁽ge, Federico Marini, AÌ⁽smund Rinnan, Rosaria Romano, Lars Erik Solberg, Marieke Timmerman, Oliver Tomic, Johan Westerhuis and Barry Wise. Of course, the correctness of the final text is fully our responsibility! (shrink)

DNA sequencers, Twitter, MRIs, Facebook, particle accelerators, Google Books, radio telescopes, Tumblr: what do these things have in common? According to the evangelists of “data science,” all of these are instruments for observing reality at unprecedentedly large scales and fine granularities. This perspective ignores the social reality of these very different technological systems, ignoring how they are made, how they work, and what they mean in favor of an exclusive focus on what they generate: Big Data. But no (...) data, big or small, can be interpreted without an understanding of the process that generated them. Statistical data science is applicable to systems that have been designed as scientific instruments, but is likely to lead to confusion when applied to systems that have not. In those cases, a historical inquiry is preferable. (shrink)

This book examines several epistemological regimes in studies of numerical data over the last four centuries. It distinguishes these regimes and mobilises questions present in the philosophy of science, sociology and historical works throughout the 20th century. Attention is given to the skills of scholars and their methods, their assumptions, and the socio-historical conditions that made calculations and their interpretations possible. In doing so, questions posed as early as Émile Durkheim’s and Ernst Cassirer’s ones are revisited and the concept (...) of symbolic form is put to the test in this particular survey, conducted over long period of time. Although distinct from a methodological and epistemological point of view, today these regimes may be found together in the toolbox of statisticians and those who comment on their conclusions. As such, the book is addressed to social scientists and historians and all those who are interested in numerical productions. (shrink)

In this review we highlight the importance of defining the untranslated parts of transcripts, and present a number of computational approaches for the discovery and quantification of alternative transcription start and poly-adenylation events in high-throughput transcriptomic data. The fate of eukaryotic transcripts is closely linked to their untranslated regions, which are determined by the position at which transcription starts and ends at a genomic locus. Although the extent of alternative transcription starts and alternative poly-adenylation sites has been revealed by (...) sequencing methods focused on the ends of transcripts, the application of these methods is not yet widely adopted by the community. We suggest that computational methods applied to standard high-throughput technologies are a useful, albeit less accurate, alternative to the expertise-demanding 5′ and 3′ sequencing and they are the only option for analysing legacy transcriptomic data. We review these methods here, focusing on technical challenges and arguing for the need to include better normalization of the data and more appropriate statistical models of the expected variation in the signal. We highlight the importance of defining the untranslated parts of transcripts, and present a number of computational approaches for the discovery and quantification of alternative transcription start site and alternative poly-adenylation events from standard high-throughput transcriptomic data. We discuss the challenges faced by these methods and argue for the use of better statistical models for dealing with biases in the data and variation in the signal. (shrink)

The prevalence, course and prognosis of diseases in patients referred to tertiary medical centers frequently differ from those treated in primary care settings. Extrapolation of findings from one population to another may therefore be unwarranted. Other factors that contribute to misinterpretation of medical literature include failure to distinguish statistical from clinical significance and advocacy of medical interventions prior to adequate clinical trials.

Statistical inference is often justified by long-run properties of the sampling distributions, such as the repeated sampling rationale. These are frequentist justifications of statistical inference. I argue, in line with existing philosophical literature, but against a widespread image in empirical science, that these justifications are flawed. Then I propose a novel interpretation of probability in statistics, the artefactual interpretation. I believe that this interpretation is able to bridge the gap between statistical probability calculations and (...) rational decisions on the basis of observed data. The artefactual interpretation is able to justify statistical inference without making any assumptions about probability in the material world. (shrink)

In recent years, neuroscience has begun to transform itself into a “big data” enterprise with the importation of computational and statistical techniques from machine learning and informatics. In addition to their translational applications such as brain-computer interfaces and early diagnosis of neuropathology, these tools promise to advance new solutions to longstanding theoretical quandaries. Here I critically assess whether these promises will pay off, focusing on the application of multivariate pattern analysis (MVPA) to the problem of reverse inference. I (...) argue that MVPA does not inherently provide a new answer to classical worries about reverse inference, and that the method faces pervasive interpretive problems of its own. Further, the epistemic setting of MVPA and other decoding methods contributes to a potentially worrisome shift towards prediction and away from explanation in fundamental neuroscience. (shrink)

Laplace once argued that if one could “comprehend all the forces by which nature is animated,” it would be possible to predict the future and explain the past. The advent of analysis of large-scale data sets has been accompanied by newfound concerns about “Laplace’s Demon” as it relates to certain fields of science as well as management, evaluation, and audit. I begin by asking how statistical data are constructed, illustrating the hermeneutic acts necessary to create a variable. (...) These include attributing a certain characteristic to a particular phenomenon, isolating the characteristic of interest, and assigning a value to it. In addition, a population must be identified and a sample must be “taken” from that population. Next, I examine how statistical analyses are conducted, examining the interpretive acts there as well. In each case, I show how big data add new challenges. I then show how statistics are incorporated into audits and evaluations, emphasizing how alternative interpretations are concealed in the audit process. I conclude by noting that these issues cannot be “resolved” as Laplace suggested. His Demon, already banished from physics, needs to be banished from other fields of science, management, audits, and evaluations as well. (shrink)

Intelligence on mass media audiences was founded on representative statistical samples, analysed by statisticians at the market departments of media corporations. The techniques for aggregating user data in the age of pervasive and ubiquitous personal media build on large aggregates of information analysed by algorithms that transform data into commodities. While the former technologies were built on socio-economic variables such as age, gender, ethnicity, education, media preferences, Big Data technologies register consumer choice, geographical position, web movement, (...) and behavioural information in technologically complex ways that for most lay people are too abstract to appreciate the full consequences of. The data mined for pattern recognition privileges relational rather than demographic qualities. We argue that the agency of interpretation at the bottom of market decisions within media companies nevertheless introduces a ‘heuristics of the algorithm’, where the data inevitably becomes translated into social categories. In the paper we argue that although the promise of algorithmically generated data is often implemented in automated systems where human agency gets increasingly distanced from the data collected, one can observe a felt need among media users and among industry actors to ‘translate back’ the algorithmically produced relational statistics into ‘traditional’ social parameters. The tenacious social structures within the advertising industries work against the techno-economically driven tendencies within the Big Data economy. (shrink)

While the common procedure of statistical significance testing and its accompanying concept of p-values have long been surrounded by controversy, renewed concern has been triggered by the replication crisis in science. Many blame statistical significance tests themselves, and some regard them as sufficiently damaging to scientific practice as to warrant being abandoned. We take a contrary position, arguing that the central criticisms arise from misunderstanding and misusing the statistical tools, and that in fact the purported remedies themselves (...) risk damaging science. We argue that banning the use of p-value thresholds in interpreting data does not diminish but rather exacerbates data-dredging and biasing selection effects. If an account cannot specify outcomes that will not be allowed to count as evidence for a claim—if all thresholds are abandoned—then there is no test of that claim. The contributions of this paper are: To explain the rival statistical philosophies underlying the ongoing controversy; To elucidate and reinterpret statistical significance tests, and explain how this reinterpretation ameliorates common misuses and misinterpretations; To argue why recent recommendations to replace, abandon, or retire statistical significance undermine a central function of statistics in science: to test whether observed patterns in the data are genuine or due to background variability. (shrink)

Machine learning (ML) refers to a class of computer-facilitated methods of statistical modelling. ML modelling techniques are now being widely adopted across the sciences. A number of outspoken representatives from the general public, computer science, various scientific fields, and philosophy of science alike seem to share in the belief that ML will radically disrupt scientific practice or the variety of epistemic outputs science is capable of producing. Such a belief is held, at least in part, because its adherents take (...) ML to exist on novel epistemic footing relative to classical mathematical or statistical modelling approaches utilised in science. Namely, they take modelling with ML to be a “theory-free” enterprise, in the sense of not resting essentially on input from human conceptual grasp on the target phenomenon and domain expertise. I take this view to arise from the further, and more deeply entrenched belief that data is worldly and objective; i.e., data is viewed as recapitulating or representing with perfect fidelity the structure or properties of the systems in nature it is sampled from. Yet most contemporary philosophers of science take on board, in one version or other, the thesis of theory-ladenness or theory-mediation of observation or measurement. From this, it follows that most philosophers of science (and, I will venture, many scientists) hold irreconcilable views on the nature of data, an internal tension which threatens the integrity of their appraisals of ML in science. Taking the thesis of theory-ladenness on board---and its implications for the nature of data seriously---it follows that there is no reason to believe that ML differs fundamentally in its epistemic footing from established mathematical modelling approaches in the sciences. I show that usage and interpretation can differ from “standard practice” in scientific projects which wield the tools of ML without accepting a difference in the epistemic or representational status of such tools. (shrink)

The advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation technology including but not limited to Computer-aided Translation and Machine Translation became part of comprehensive curricula for translation training programs. However, in many institutions, the teaching of translation technology was haunted by issues such as: narrow scope of curriculum (...) design, outdated technologies, and unbalance between theories and practices in teaching. The study was the pilot evaluation of a tailored course to foster translation trainees’ knowledge and abilities of data science. The course was designed to be a fundamental step toward sophisticated translation technologies. During the pilot evaluation of the 8-week course, 85 students were recruited as participants. The study adopted a mix-method design by employing a survey to investigate student’s level of satisfaction toward the course and focus group discussion to understand students’ attitudes and perceptions of key aspects of the course. By interpreting the results from statistical analysis of the survey and thematic analysis of the focus group discussion, the course of data science for translators was well received among participants. The evaluation project manifested the feasibility and effectiveness of a translator-oriented data science course. (shrink)

We contrast two theoretical positions on the relation between phenomenal and access consciousness. First, we discuss previous data supporting a mild Overflow position, according to which transient visual awareness can overflow report. These data are open to two interpretations: (i) observers transiently experience specific visual elements outside attentional focus without encoding them into working memory; (ii) no specific visual elements but only statistical summaries are experienced in such conditions. We present new data showing that under (...) class='Hi'>data-limited conditions observers cannot discriminate a simple relation (same versus different) without discriminating the elements themselves and, based on additional computational considerations, we argue that this supports the first interpretation: summary statistics (same/different) are grounded on the transient experience of elements. Second, we examine recent data from a variant of ‘inattention blindness’ and argue that contrary to widespread assumptions, it provides further support for Overflow by highlighting another factor, ‘task relevance’, which affects the ability to conceptualize and report (but not experience) visual element. (shrink)

The main objective of the paper is to propose a frequentist interpretation of probability in the context of model-based induction, anchored on the Strong Law of Large Numbers (SLLN) and justifiable on empirical grounds. It is argued that the prevailing views in philosophy of science concerning induction and the frequentist interpretation of probability are unduly influenced by enumerative induction, and the von Mises rendering, both of which are at odds with frequentist model-based induction that dominates current practice. The (...) differences between the two perspectives are brought out with a view to defend the model-based frequentist interpretation of probability against certain well-known charges, including [i] the circularity of its definition, [ii] its inability to assign ‘single event’ probabilities, and [iii] its reliance on ‘random samples’. It is argued that charges [i]–[ii] stem from misidentifying the frequentist ‘long-run’ with the von Mises collective. In contrast, the defining characteristic of the long-run metaphor associated with model-based induction is neither its temporal nor its physical dimension, but its repeatability (in principle); an attribute that renders it operational in practice. It is also argued that the notion of a statistical model can easily accommodate non-IID samples, rendering charge [iii] simply misinformed. (shrink)

Stories about near-death experiences draw much attention from the general public and are extensively discussed by medical doctors and neuroscientists. However, though eschatology belongs to their core business, only few theologians participate in the debate. This article proposes a theological interpretation of NDEs as ‘private revelations’. I first give a critical analysis of the development of the modern, allegedly ‘scientific’, concept of NDE. This concept changes concrete personal testimonies into statistical data that are used as scientific evidence (...) for the existence of an immortal soul. Next, the main criticisms against this concept from neurosciences, study of mysticism and philosophy of mind are discussed. Finally, I argue that ‘private revelation’ is a useful model for a theological understanding of NDEs and that an analogy from Thomas Aquinas’ view on prophetic dreams can help to account for the specific circumstance of imminent death. The interpretation I propose can do justice to the impression NDEs make on people, but can also accept and meet some of the most important criticisms raised against the modern concept of NDEs. (shrink)

There are two motivations commonly ascribed to historical actors for taking up statistics: to reduce complicated data to a mean value (e.g., Quetelet), and to take account of diversity (e.g., Galton). Different motivations will, it is assumed, lead to different methodological decisions in the practice of the statistical sciences. Karl Pearson and W. F. R. Weldon are generally seen as following directly in Galton’s footsteps. I argue for two related theses in light of this standard interpretation, based (...) on a reading of several sources in which Weldon, independently of Pearson, reflects on his own motivations. First, while Pearson does approach statistics from this "Galtonian" perspective, he is, consistent with his positivist philosophy of science, utilizing statistics to simplify the highly variable data of biology. Weldon, on the other hand, is brought to statistics by a rich empiricism and a desire to preserve the diversity of biological data. Secondly, we have here a counterexample to the claim that divergence in motivation will lead to a corresponding separation in methodology. Pearson and Weldon, despite embracing biometry for different reasons, settled on precisely the same set of statistical tools for the investigation of evolution. (shrink)

Although various statistical measures may have other valid uses, the single purpose served by statistical significance testing in the epistemology of experimental science is as a peremptory rebuttal of one potential alternative interpretation of the data.

While orthodox (Neyman-Pearson) statistical tests enjoy widespread use in science, the philosophical controversy over their appropriateness for obtaining scientific knowledge remains unresolved. I shall suggest an explanation and a resolution of this controversy. The source of the controversy, I argue, is that orthodox tests are typically interpreted as rules for making optimal decisions as to how to behave--where optimality is measured by the frequency of errors the test would commit in a long series of trials. Most philosophers of statistics, (...) however, view the task of statistical methods as providing appropriate measures of the evidential-strength that data affords hypotheses. Since tests appropriate for the behavioral-decision task fail to provide measures of evidential-strength, philosophers of statistics claim the use of orthodox tests in science is misleading and unjustified. What critics of orthodox tests overlook, I argue, is that the primary function of statistical tests in science is neither to decide how to behave nor to assign measures of evidential strength to hypotheses. Rather, tests provide a tool for using incomplete data to learn about the process that generated it. This they do, I show, by providing a standard for distinguishing differences (between observed and hypothesized results) due to accidental or trivial errors from those due to systematic or substantively important discrepancies. I propose a reinterpretation of a commonly used orthodox test to make this learning model of tests explicit. (shrink)

We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT) statistical causality, which is a straightforward way of representing and addressing causal questions. DT reframes causal inference as “assisted decision-making” and aims to understand when, and how, I can make use of external data, typically observational, to help me solve a decision problem by taking advantage of assumed relationships between the data and my problem. The relationships embodied in any representation of a causal problem (...) require deeper justification, which is necessarily context-dependent. Here we clarify the considerations needed to support applications of the DT methodology. Exchangeability considerations are used to structure the required relationships, and a distinction drawn between intention to treat and intervention to treat forms the basis for the enabling condition of “ignorability.” We also show how the DT perspective unifies and sheds light on other popular formalisations of statistical causality, including potential responses and directed acyclic graphs. (shrink)

Tribe, David All serious journalists and debaters garnish their opinion pieces with facts and figures seen as 'corroborative detail, intended to give artistic verisimilitude to an otherwise bald and unconvincing narrative' . This apology for a lurid pack of lies in The Mikado has long been compared with statistics. Of course it's unjust. Nevertheless, investigation shows that statistics, widely used to interpret the past and present and forecast the future, to determine or justify public policy, are often unsatisfactory through questionable (...) processing of controversial, inadequate or bogus data. (shrink)

The purpose of this study was to investigate the relationship between organizational ethical context and the individual ethical decision-making process. In addition, a new statistical approach combining cluster and discriminant analyses was developed to overcome violations of regression assumptions, which are commonly not identified and/or ignored in behavioral and psychological research. Using regressions and this new alternative method, the findings indicated that ethical context does indeed influence the various components of ethical reasoning. However, social desirability was the strongest predictor (...) of ethical decision making, which raises new concerns about how this bias can confound business ethics research. Finally, the findings showed that the alternative method provided more useful and interpretive results, indicating that it has the capacity to influence future empirical work in the field of business ethics, particularly when dealing with data that do not satisfy regression assumptions. The implications and limitations of the study are discussed, and several noteworthy suggestions for future research are provided. (shrink)

Hacking’s Law of Likelihood says—paraphrasing—that data support hypothesis H1 over hypothesis H2 whenever the likelihood ratio for H1 over H2 exceeds 1. But Hacking later noted a seemingly fatal flaw in the LR itself: it cannot be interpreted as the degree of “evidential significance” across applications. I agree with Hacking about the problem, but I do not believe the condition is incurable. I argue here that the LR can be properly calibrated with respect to the underlying evidence, and I (...) sketch the rudiments of a methodology for so doing. (shrink)

Hacking’s Law of Likelihood says – paraphrasing– that data support hypothesis H1 over hypothesis H2 whenever the likelihood ratio for H1 over H2 exceeds 1. But Hacking noted a seemingly fatal flaw in the LR itself: it cannot be interpreted as the degree of “evidential significance” across applications. I agree with Hacking about the problem, but I don’t believe the condition is incurable. I argue here that the LR can be properly calibrated with respect to the underlying evidence, and (...) I sketch the rudiments of a methodology for so doing. (shrink)

Cronin, Patrick An empirical research project was conducted in the Archdiocese of Adelaide to investigate parish practices of mystagogy in the period after Easter for those involved in the RCIA (Rite of Christian Initiation of Adults). This research established, by statistical and qualitative analysis, support for the thesis of a positive correlation between the quality of mystagogy offered at the parish level, and on-going participation of the newly received in parish life over subsequent years. The data gathering instruments (...) consisted of three questionnaires which were developed and delivered to parishes at the end of the mystagogy period in 2010. This enabled three sets of data to be collected retrospectively from RCIA teams for the period 2008 to 2010 inclusive. Two sets of data from the parish teams were used for ranking purposes and subsequent statistical analysis, while the third set of data from the neophytes and newly-received was used for qualitative analysis. This paper discusses some of the analyses of these sets of data and argues for the utility of empirical research as a source for evidencebased enhancements to ministry practice. (shrink)

Scientific reasoning represents complex argumentation patterns that eventually lead to scientific discoveries. Social epistemology of science provides a perspective on the scientific community as a whole and on its collective knowledge acquisition. Different techniques have been employed with the goal of maximization of scientific knowledge on the group level. These techniques include formal models and computer simulations of scientific reasoning and interaction. Still, these models have tested mainly abstract hypothetical scenarios. The present thesis instead presents data-driven approaches in social (...) epistemology of science. A data-driven approach requires data collection and curation for its further usage, which can include creating empirically calibrated models and simulations of scientific inquiry, performing statistical analyses, or employing data- mining techniques and other procedures. -/- We present and analyze in detail three co-authored research projects on which the thesis’ author was engaged during her PhD. The first project sought to identify optimal team composition in high energy physics laboratories using data-mining techniques. The results of this project are published in (Perović et al. 2016), and indicate that projects with smaller numbers of teams and team members outperform bigger ones. In the second project, we attempted to determine whether there is an epistemic saturation point in experimentation in high energy physics. The initial results from this project are published in (Sikimić et al. 2018). In the thesis, we expand on this topic by using computer simulations to test for biases that could induce scientists to invest in projects beyond their epistemic saturation point. Finally, in previous examples of data-driven analyses, citations are used as a measure of epistemic efficiency of projects in high energy physics. In order to additionally justify and analyze the usage of this parameter in their data-driven research, in the third project Perović & Sikimić (2019) analyzed and compared inductive patterns in experimental physics and biology with the reliability of citation records in these fields. They conclude that while citations are a relatively reliable measure of efficiency in high energy physics research, the same does not hold for the majority of research in experimental biology. -/- Additionally, contributions of the author that are for the first time published in this theses are: (a) an empirically calibrated model of scientific interaction of research groups in biology, (b) a case study of irregular argumentation patterns in some pathogen discoveries, and (c) an introductory discussion of the benefits and limitations of data- driven approaches to the social epistemology of science. Using computer simulations of an empirically calibrated model, we demonstrate that having several levels of hierarchy and division into smaller research sub-teams is epistemically beneficial for researchers in experimental biology. We also show that argumentation analysis in biology represents a good starting point for further data-driven analyses in the field. Finally, we conclude that a data-driven approach is informative and useful for science policy, but requires careful considerations about data collection, curation, and interpretation. (shrink)

According to common judicial standard, judgment in favor ofplaintiff should be made if and only if it is more probable than not thatthe defendant''s action was the cause for the plaintiff''s damage (or death). This paper provides formal semantics, based on structural models ofcounterfactuals, for the probability that event x was a necessary orsufficient cause (or both) of another event y. The paper then explicates conditions under which the probability of necessary (or sufficient)causation can be learned from statistical (...) class='Hi'>data, and shows how data fromboth experimental and nonexperimental studies can be combined to yieldinformation that neither study alone can provide. Finally, we show thatnecessity and sufficiency are two independent aspects of causation, andthat both should be invoked in the construction of causal explanations for specific scenarios. (shrink)

Attempts to introduce Gestalt theory into the realm of visual neuroscience are discussed on both theoretical and experimental grounds. To define the framework in which these proposals can be defended, this paper outlines the characteristics of a standard model, which qualifies as a received view in the visual neurosciences, and of the research into natural images statistics. The objections to the standard model and the main questions of the natural images research are presented. On these grounds, this paper defends the (...) view that Gestalt psychology and experimental phenomenology provide a contribution to the research into perception by the construction of phenomenological models for an ecologically meaningful interpretation of the empirical evidence and the hypothetical constructs of the natural image research within the visual neuroscience. A formal framework for the phenomenological models is proposed, wherein Gestalt theoretical principles and empirical evidence are represented in terms of topological properties and relationships, which account for the order and structures that make the environment accessible to observers at a relevant behavioural level. It is finally argued that these models allow us to evaluate the principles and the empirical evidence of various natures which are integrated from different fields into the research into perception, and in particular into visual neurosciences. (shrink)

The Diagnostic and Statistical Manual (DSM) of the American Psychiatric Association, currently in its fourth edition and considered the reference for the characterization and diagnosis of mental disorders, has undergone various developments since its inception in the mid-twentieth century. With the fifth edition of the DSM presently in field trials for release in 2013, there is renewed discussion and debate over the extent of its relative successes - and shortcomings - at iteratively incorporating scientific evidence on the often ambiguous (...) nature and etiology of mental illness. Given the power that the DSM has exerted both within psychiatry and society at large, this essay seeks to analyze variations in content and context of various editions of the DSM, address contributory influences and repercussion of such variations on the evolving landscape of psychiatry as discipline and practice over the past sixty years. Specifically, we document major modifications in the definition, characterization, and classification of mental disorders throughout successive editions of the DSM, in light of shifting trends in the conceptualization of psychopathology within evolving schools of thought in psychiatry, and in the context of progress in behavioral and psychopharmacological therapeutics over time. We touch upon the social, political, and financial environments in which these changes took places, address the significance of these changes with respect to the legitimacy (and legitimization) of what constitutes mental illness and health, and examine the impact and implications of these changes on psychiatric practice, research, and teaching. We argue that problematic issues in psychiatry, arguably reflecting the large-scale adoption of the DSM, may be linked to difficulties in formulating a standardized nosology of psychopathology. In this light, we highlight 1) issues relating to attempts to align the DSM with the medical model, with regard to increasing specificity in the characterization of discrete mental disease entities and the incorporation of neurogenetic, neurochemical and neuroimaging data in its nosological framework; 2) controversies surrounding the medicalization of cognition, emotion, and behavior, and the interpretation of subjective variables as 'normal' or 'abnormal' in the context of society and culture; and 3) what constitutes treatment, enablement, or enhancement - and what metrics, guidelines, and policies may need to be established to clarify such criteria. (shrink)

Neuropsychological dissociations between regular and irregular English past-tense morphology have been reported using a lexical decision task in which past-tense primes immediately precede present-tense targets. We present N400 event-related potential data from healthy participants using the same design. Both regular and irregular past-tense forms primed corresponding present-tense forms, but with a longer duration for irregular verbs. Phonological control conditions suggested that differences in formal overlap between prime and target contribute to, but do not account for, this difference, suggesting a (...) link between irregular morphology and semantics. Further analysis dividing the irregular verbs into two categories (weak irregular and strong) revealed that priming for strong verbs was reliably stronger than that for weak irregular and regular verbs, which were statistically indistinguishable from one another. We argue that, although we observe a regular-irregular dissociation, the nature of this dissociation is more consistent with single- than with dual-system models of inflectional morphology. (shrink)

BackgroundTitles and abstracts are the most read sections of biomedical papers. It is therefore important that abstracts transparently report both the beneficial and adverse effects of health care interventions and do not mislead the reader. Misleading reporting, interpretation, or extrapolation of study results is called “spin”. In this study, we will assess whether adverse effects of orthodontic interventions were reported or considered in the abstracts of both Cochrane and non-Cochrane reviews and whether spin was identified and what type of (...) spin.MethodsEligibility criteria were defined for the type of study designs, participants, interventions, outcomes, and settings. We will include systematic reviews of clinical orthodontic interventions published in the five leading orthodontic journals and in the Cochrane Database. Empty reviews will be excluded. We will manually search eligible reviews published between 1 August 2009 and 31 July 2019. Data collection forms were developed a priori. All study selection and data extraction procedures will be conducted by two reviewers independently. Our main outcomes will be the prevalence of reported or considered adverse effects of orthodontic interventions in the abstract of systematic reviews and the prevalence of “spin” related to these adverse effects. We will also record the prevalence of three subtypes of spin, i.e., misleading reporting, misleading interpretation, and misleading extrapolation-related spin. All statistics will be calculated for the following groups: (1) all journals individually, (2) all journals together, and (3) the five leading orthodontic journals and the Cochrane Database of Systematic Reviews separately. Generalized linear models will be developed to compare the various groups.DiscussionWe expect that our results will raise the awareness of the importance of reporting and considering of adverse effects and the presence of the phenomenon of spin related to these effects in abstracts of systematic reviews of orthodontic interventions. This is important, because an incomplete and inadequate reporting, interpretation, or extrapolation of findings on adverse effects in abstracts of systematic reviews can mislead readers and could lead to inadequate clinical practice. Our findings could result in policy implications for making judgments about the acceptance for publication of systematic reviews of orthodontic interventions. (shrink)

Climate change is difficult to connect with personally, because people only regard the phenomenon as important if it becomes a perceived threat to themselves. Arguments like statistics and policy debates are extrinsic motivators, which do not necessarily align people’s own intrinsic motives with those of climate action. Instead, narratives and visual communication can influence viewers implicitly by the way they show and reinforce actions and thoughts that align with climate action. In this design study, we used comics created for human-level (...) climate change influence to promote ideas like future-based thinking, sharing of responsibility, and caring for each other. We also created data visuals that illustrate future consequences of climate change for the purpose of averting negative alternative realities. To see whether our design can affect audience perception of climate change on the human level of goals and desires, we showed the comics to readers unfamiliar with the themes of the stories, presenting them as manga about characters and situations. The survey showed that data stories can affect the way naive readers interpret narratives to align with pro-climate attitudes such as sharing and future-vision, and that readers are focused on the human-level of the data and story as opposed to the physical resource level. Speculative fiction and data visuals provide a potentially effective way to influence individuals’ climate change attitudes by showing alternative realities and attributes of collective responsibility and planning-for-the-future as data stories. (shrink)

Several influential psychologists have attempted to estimate to what extent human happiness levels are directly controlled by genes by comparing the happiness levels of identical twins raised apart. If we discover that the happiness levels of identical twins raised apart tend to be closer than the happiness levels of fraternal twins raised apart, this is taken as evidence that average happiness levels are largely controlled by genes. However, if it turns out that identical twins' happiness levels tend to be substantially (...) different, as different as fraternal twins raised apart, it has been argued that this implies that the environment largely determines happiness levels. I contend that this interpretation of the data rests on a set of questionable, closely related assumptions: a) that pairs of identical twins raised apart are raised in substantially different environments; b) that genetically identical twins aren't identical in other pertinent ways; and c) that average levels of affect that are correlated with certain sets of genes in the environments the twin studies were conducted in will be correlated with those genes in other relevant environments because those genes govern average affect levels. In this paper, I will show that these assumptions are false and explain how to properly go about investigating the contingent causal links between genes and happiness. In the end, I argue that there is no good evidence that our genes delimit our hedonic potential and that the fact that this misinterpretation of the data has been widely disseminated is potentially harmful to human well-being. (shrink)

Psychological constructs such as personality dimensions or cognitive traits are typically unobserved and are therefore measured by observing so-called indicators of the latent construct. The Common Factor Model models the relations between the observed indicators and the latent variable. In this article we argue in favor of interpreting the CFM as a causal model rather than merely a statistical model, in which common factors are only descriptions of the indicators. When there is sufficient reason to hypothesize that the underlying (...) causal structure of the data is a common cause structure, a causal interpretation of the CFM has several benefits over a merely statistical interpretation of the model. We argue that a causal interpretation conforms with most research questions in which the goal is to explain the correlations between indicators rather than merely summarizing them; a causal interpretation of the factor model legitimizes the focus on shared, rather than unique variance of the indicators; and a causal interpretation of the factor model legitimizes the assumption of local independence. (shrink)

Philosophical proponents of predictive processing cast the novelty of predictive models of perception in terms of differences in the functional role and information content of neural signals. However, they fail to provide constraints on how the crucial semantic mapping from signals to their informational contents is determined. Beyond a novel interpretative gloss on neural signals, they have little new to say about the causal structure of the system, or even what statistical information is carried by the signals. That means (...) that the predictive framework for perception can be relabeled in traditional, non-predictive terms, with no empirical consequences relevant to existing or future data. To the extent that neuroscientific research based on predictive processing is both innovative and productive, it will be due to the framework’s suggestive heuristic effects, or perhaps auxiliary empirical claims about implementation, rather than a difference in the information-processing structure that it describes. (shrink)

Model validation in computational cognitive psychology often relies on methods drawn from the testing of theories in experimental physics. However, applications of these methods to computational models in typical cognitive experiments can hide multiple, plausible sources of variation arising from human participants and from stochastic cognitive theories, encouraging a “model fixed, data variable” paradigm that makes it difficult to interpret model predictions and to account for individual differences. This article proposes a likelihood‐based, “data fixed, model variable” paradigm in (...) which models are treated as stochastic processes in experiments with participant‐to‐participant variation that can be applied to a broad range of mechanistic cognitive architectures. This article discusses the implementation and implications of this view in model validation, with a concrete focus on a simple class of ACT‐R models of cognition. This article is not intended as a recipe for broad application of these preliminary, proof‐of‐concept methods, but as a framework for communication between statisticians searching for interesting problems in the cognitive modeling sphere, and cognitive modelers interested in generalizing from deterministic to stochastic model validation, in the face of random variation in human experimental data. (shrink)

One approach to validating simulation models is to formally compare model outputs with independent data. We consider such model validation from the point of view of Frequentist statistics. A range of estimates and tests of goodness of fit have been advanced. We review these approaches, and demonstrate that some of the tests suffer from difficulties in interpretation because they rely on the null hypothesisHypothesis that the model is similar to the observationsObservations. This reliance creates two unpleasant possibilities, namely, (...) a model could be spuriously validated when dataData are too few, or inappropriately rejected when data are too many. Finally, these tests do not allow a principled declaration of what a reasonable level of difference would be considering the purposes to which the model will be put. We consider equivalence tests, and demonstrate that they do not suffer from the previously identified shortcomings. We provide two case studies to illustrate the claims of the chapter. (shrink)

In the last decades, Systems Biology (including cancer research) has been driven by technology, statistical modelling and bioinformatics. In this paper we try to bring biological and philosophical thinking back. We thus aim at making diferent traditions of thought compatible: (a) causality in epidemiology and in philosophical theorizing—notably, the “sufcient-component-cause framework” and the “mark transmission” approach; (b) new acquisitions about disease pathogenesis, e.g. the “branched model” in cancer, and the role of biomarkers in this process; (c) the burgeoning of (...) omics research, with a large number of “signals” and of associations that need to be interpreted. In the paper we summarize frst the current views on carcinogenesis, and then explore the relevance of current philosophical interpretations of “cancer causes”. We try to ofer a unifying framework to incorporate biomarkers and omic data into causal models, referring to a position called “evidential pluralism”. According to this view, causal reasoning is based on both “evidence of diference-making” (e.g. associations) and on “evidence of underlying biological mechanisms”. We conceptualize the way scientists detect and trace signals in terms of information transmission, which is a generalization of the mark transmission theory developed by philosopher Wesley Salmon. Our approach is capable of helping us conceptualize how heterogeneous factors such as micro and macro-biological and psycho-social—are causally linked. This is important not only to understand cancer etiology, but also to design public health policies that target the right causal factors at the macro-level. (shrink)

Nonbelievers represent an understudied population in Greece. This investigation reports on the translation, cultural adaptation, and initial validation of the Nonreligious-Nonspiritual Scale, a measure designed to assess nonbelief. Data from 1754 participants were collected to examine the psychometric properties of the Greek version of the instrument and to assess the nationwide interpretability of the measure. Factor analyses suggested that the 16-item scale retained its bifactor model. Convergent validity was supported through associations with additional measures, namely, the Meaning in Life (...) Questionnaire and the Connor–Davidson Resilience Scale, which were used as reference criteria. Potential utility of the measure and future directions for ongoing development are discussed. (shrink)

This paper takes a critical look at theory-free, statistical methodologies for processing and interpreting data taken from respondents answering a set of dichotomous (yes-no) questions. The basic issue concerns to what extent theoretical conclusions based on such analyses are invariant under a class of "informationally equivalent" question transformations. First the notion of Boolean equivalence of two question sets is discussed. Then Lazarsfeld's latent structure analysis is considered in detail. It is discovered that the best fitting latent model depends (...) on which one of the many informationally equivalent question sets is used. This fact raises a number of methodological problems and pitfalls with latent structure analysis. Related problems with other methodologies are briefly discussed. (shrink)

Researchers encounter challenges that require making complex professional decisions. Strategies such as seeking help and anticipating consequences support decision-making in these situations. Existing evidence on a measure of professional decision-making in research that assesses the use of decision-making strategies revealed that NIH-funded researchers born outside of the U.S. tended to score below their U.S. counterparts. To examine potential explanations for this association, this study recruited 101 researchers born in the United States and 102 born internationally to complete the PDR and (...) measures of basic personal values, values in scientific work, discrimination between the seriousness of rules in research, exposure to unprofessional research practices, and acculturation to American culture. Several variables were associated with PDR scores—discrimination between types of rules in research, exposure to unprofessional research practices, acculturation, and the basic personal values of power, security, and benevolence. However, only security, benevolence, acculturation, and rule discrimination were also associated with nation of origin. In multivariate models, the variance explained by these variables in accounting for the association of nation of origin and PDR scores was somewhat overlapping, thus, only security and benevolence remained as unique, statistically significant predictors. Thus, this study identified some important variables in the association of nation of origin and PDR, but more research is needed. In a secondary analysis to examine the “clinical significance” of scores on the PDR, this study examined aggregated PDR score data from the present sample and past samples of investigators. This analysis identified scores that may suggest a concern versus those scores that may be interpreted as excellent, proficient, or marginal. Implications for training and mentoring, along with considerations for future research are discussed. (shrink)

The question of whether conscious experience is restricted by cognitive access and exhausted by report, or whether it overflows it—comprising more information than can be reported—is hotly debated. Recently, we provided evidence in favor of Overflow, showing that observers discriminated the color‐diversity (CD) of letters in an array, while their working‐memory and attention were dedicated to encoding and reporting a set of cued letters. An alternative interpretation is that CD‐discriminations do not entail conscious experience of the underlying colors. Here (...) we argue, based on conceptual considerations and consistency with neuroscience and phenomenology, in favor of the Overflow interpretation. (shrink)

Na dinâmica do campo religioso brasileiro, novas formas de crer surgem, algumas religiões têm maior expansão - como algumas correntes evangélicas - e religiões tradicionais - como o catolicismo - vão-se “desencantando”. Este artigo pretende, a partir dos dados sobre religião da Pesquisa de Orçamentos Familiares (POF/IBGE, 2009), publicados em estudo da Fundação Getúlio Vargas - FGV (NERI, 2011), discutir a composição deste novo mapa religioso. Em relação às igrejas cristãs, o estudo da FGV mostrou, em termos quantitativos, a diminuição (...) do número de católicos, a estabilização do percentual de evangélicos pentecostais e o crescimento dos evangélicos não-pentecostais. Partindo da evolução histórica dos dados estatísticos sobre religião no Brasil, analisar-se-á, inicialmente, o declínio numérico do catolicismo, suas implicações e perspectivas. Em seguida buscar-se-á, através de uma análise crítica das conclusões do estudo da FGV sobre o campo protestante brasileiro, interpretar as possibilidades e os limites do uso dos dados da pesquisa para a compreensão da dinâmica do campo religioso brasileiro. Nesta via, o panorama religioso brasileiro deve ser interpretado além dos dados estatísticos. Palavras-chave: Pluralidade Religiosa. Campo Religioso Brasileiro. Catolicismo. Pentecostalismo. Demografia das Religiões.The article shows that within the Brazilian religious field new ways of believe have emerged. In this way, it also shows that some religions are in expansion – as some evangelical movements and traditional religions while some traditional religions – like Catholicism – are in a process of disenchantment. This article aims, from the 2009 Household Budget Survey – Pesquisa de Orçamentos Familiares (POF/IBGE, 2009) – data on religion published in a recent study elaborated by Fundação Getúlio Vargas (NERI, 2011), discuss the composition of this new religious map. Regarding the Christian churches, the FGV` study showed, in quantitative terms, the decrease in the number of Catholics, the stabilization of Pentecostal evangelicals’ percentage and the growth of non-Pentecostal evangelicals. Initially, based on the historical development of statistics on religion in Brazil, the numerical decline of Catholicism, its implications and perspectives will be analyzed. Basing on a critical analysis of the FGV’s study conclusions about the Brazilian protestant field numbers, the article will interpret the possibilities and limitations of using survey data for understanding the Brazilian religious field dynamics. In this way, the Brazilian religious landscape should be interpreted beyond the statistics Keywords: Religious Plurality. Brazilian Religious Field. Catholicism. Pentecostalism. Demography of Religions. (shrink)

The decision to divorce marks a turning point for every individual involved. It can be viewed as more than just a legal process. From a psychological perspective, it does not matter who initiated the divorce, since it always comes with emotional ramifications for all those involved. Statistically, there is a high rate of divorce in South Africa and there have been significant shifts in trends over time. While black South African men’s experience of divorce has been relatively neglected in the (...) research on divorce, it is important for understanding contemporary social arrangements and processes, and, in particular, for broadening the understanding of black South African men’s lives. How black South African men describe their experience and respond to marital dissolution may point to their positions in the gender-structured community as well as illuminate how they interpret the nature of social practice, marriage, divorce and their position in society. The aim of the research reported on in this paper was to explore black South African men’s experience of divorce. The theoretical framework underpinning this qualitative study was broadly that of Symbolic Interactionism, with Interpretative Phenomenological Analysis employed as both the research design and data analytic theory and process. The eight participants were volunteers who were recruited purposively. In keeping with IPA guidelines, data-collection proceeded by means of biographical questionnaires and semi-structured interviews. The emerging themes were grouped into three superordinate themes, namely, perceptions of divorce, social support, and experiencing of pain. Each superordinate theme had corresponding subordinate themes and experiential claims. Weed’s recommendations for the interpretative synthesis of interview data were applied. (shrink)

"Kapitał społeczny ludzi starych na przykładzie mieszkańców miasta Białystok" to książka oparta na analizach teoretycznych i empirycznych, która przedstawia problem diagnozowania i używania kapitału społecznego ludzi starych w procesach rozwoju lokalnego i regionalnego. Kwestia ta jest istotna ze względu na zagrożenia i wyzwania związane z procesem szybkiego starzenia się społeczeństwa polskiego na początku XXI wieku. Opracowanie stanowi próbę sformułowania odpowiedzi na pytania: jaki jest stan kapitału społecznego ludzi starych mieszkających w Białymstoku, jakim ulega przemianom i jakie jest jego zróżnicowanie? Ludzie (...) starzy są tu postrzegani jako kategoria społeczna, czyli zbiór osób podobnych do siebie pod względem społecznie istotnych cech (takich jak wiek, posiadane role społeczne i świadomość korzystania ze świadczeń społecznych), którzy są świadomi tego podobieństwa i swojej odrębności od innych. Przyjmuje się ponadto, iż osoby takie przekroczyły 60. rok życia. Zakłada się też, że w zasobach ludzkich skumulowany jest kapitał ludzki, społeczny i kulturowy. Kapitał społeczny jest tu ujmowany szeroko jako potencjał współdziałania osadzony w powiązaniach międzyludzkich i normach społecznych, który może przynosić korzyści osobom, grupom i społeczeństwom. W części teoretycznej przedstawiono informacje o starości jako etapie w życiu jednostki, wyjaśniono pojęcie ludzi starych, omówiono społeczne teorie starzenia się, historyczne czynniki oddziaływające na położenie kategorii społecznej ludzi starych, zmiany ich miejsca w społeczeństwie polskim w trakcie transformacji ustrojowej i na początku XXI wieku, możliwe konsekwencje wzrostu długości życia w warunkach demokracji i kapitalizmu oraz charakterystykę problemu starzenia się ludności Białegostoku jako miasta pogranicza. Zaprezentowano też różnorodne koncepcje kapitału społecznego, sfery jego oddziaływania na rozwój społeczno-gospodarczy, jego stan w Polsce oraz wytyczne do strategicznego budowania jego zasobów. Przybliżono również wybrane informacje o aktywności ludzi starych w życiu publicznym, społecznym i gospodarczym jako kluczowych cechach ich kapitału społecznego. Porządkując różne stanowiska teoretyczne, wyniki badań i dane statystyczne, dążono do powiązania wielu rozproszonych źródeł w przekonaniu, iż jest to istotne w celu określenia i zagospodarowania zasobów kapitału społecznego seniorów, jak również niwelacji opóźnienia polskiej socjologii w zakresie badań nad ludźmi starymi. Pomimo, iż za podstawową perspektywę teoretyczną publikacji uznana została koncepcja kapitału P. Bourdieu, autor bierze również pod uwagę propozycje badawcze J.S. Colemana, R.D. Putnama, F. Fukuyamy, A. Giddensa, P. Sztompki i A. Sadowskiego. Drugi rozdział zawiera określenie ram metodologicznych badań przeprowadzonych na potrzeby tej publikacji. Omówiono przyjęte założenia badawcze oraz przybliżono sposób i przebieg realizacji badań. Przede wszystkim zdecydowano się na korzystanie z metody jakościowej i zastosowanie techniki wywiadu swobodnego ukierunkowanego. Uznano, iż podmiotowy kontakt z ludźmi starymi umożliwi dokładniejsze rozpoznanie kontekstu, w którym znajdują się zasoby ich kapitału społecznego. Jest to ważne, gdyż przenoszenie na rodzimy grunt opracowanych za granicą interpretacji działań ludzi starych i rozwiązań aktywizujących, może okazać się nieskuteczne lub wywołać negatywne efekty zewnętrzne. Ponadto w literaturze przedmiotu zwraca się uwagę na niedostatek badań gerontologicznych zgodnych z paradygmatem interpretatywnym. Badaniu poddano 26 respondentów w wieku od 60 do 89 lat żyjących w mieście Białystok związanych z jedną z dwóch różnych instytucji: Domem Pomocy Społecznej i Uniwersytetem Trzeciego Wieku. Poprzez porównywanie osób znajdujących się na dwóch biegunach aktywności społecznej możliwe było dostrzeżenie podobieństw i różnic w ich wyposażeniu kapitałowym, a zarazem w osiągniętych w ciągu życia pozycjach w strukturze klasowej i zasobach służących pomyślnej starości6. W trzecim rozdziale przedstawiona została część wyników analiz empirycznych. Przybliżono tu sposób, w jaki ludzie starzy myślą o podobnych sobie przodkach i osobach współczesnych, a także czynniki, w zależności od których zmienia się ich pozycja społeczna w mieście oraz problemy społeczne, jakie uznają za najważniejsze dla ludzi starych. Analizie poddano opinie o ich czasie wolnym, szansach i barierach aktywności ekonomicznej. Wyróżniono typy kapitału społecznego ludzi starych w zależności od instytucji, z którymi są związani oraz podejścia do postrzegania i wykorzystywania zróżnicowania wewnętrznego seniorów. Omówiono wizerunek seniorów w środkach masowego przekazu. Publikacja nie zawiera ścisłego zakończenia. W ostatnim rozdziale wskazano jedynie na główne wnioski płynące z badań oraz na potencjalne dalsze kierunki analiz. Uzupełnienie tego podejścia stanowią zamieszczone w aneksie zestawienia oddolnych technik budowania kapitału społecznego oraz podstawowych cech Miast Przyjaznych Starszemu Wiekowi. Z opracowania tego z pewnością będą mogli skorzystać nie tylko naukowcy zajmujący się tematyką ludzi starych, ale i pracownicy socjalni, politycy, pracodawcy, przedstawiciele mediów i organizacji pozarządowych oraz obywatele Białegostoku i innych miast. ** "Social Capital of Old People on the Example of Bialystok Residents" is a book based on theoretical and empirical study, which presents an issue of diagnosing and using of old people social capital in the local and regional development processes. This issue is significant because of the threats and challenges associated with process of rapid ageing of Polish society at the beginning of 21st century. Publication, in particular, is an attempt to give answers to the following questions: what is the state of old people social capital in Bialystok, what transformations it undergoes and how is it differentiated? In this study old people are viewed as a social category, which is a set of people similar to each other in terms of socially significant features (such as age, possessed social roles and awareness of received social benefits), who are aware of these similarities and differences between each other. Moreover, it is assumed, that such persons exceeded the 60 years of age. It is also assumed that human, social and cultural capital is accumulated in the human resources. Social capital is recognized here broadly as a potential for collaboration embedded in interpersonal relationships and social norms that may benefit individuals, groups and societies. The book consists of three chapters. The first, which is the theoretical part of work, includes information about: old age as a stage of individual life and explanation of the old people notion. It discusses social theories of ageing, historical factors affecting on the social position of old people category, changes in their place in Polish society during the system transformation and in the early 21st century. It describes the possible consequences of increased life expectancy for democracy and capitalism - including the concepts of society for all ages, silver economy. It also features ageing population issue, as well as social policy towards the elderly and old age in Bialystok as the borderland city. A variety of social capital concepts were presented; the spheres of its influence on socio-economic development, its status in Poland and guidelines for strategic building of its resources. Selected information on the activity of old people in public, social and economic life as key features of their social capital was brought closer. Putting various theoretical positions, results of research and statistical data in order was aimed to link many dispersed sources considering that it is relevant to identify and develop seniors' social capital resources, as well as leveling the delay of Polish sociology research on the elderly. Fundamental theoretical perspective of publication is the concept of capital according to P. Bourdieu. However, the proposals of J.S. Coleman, R.D. Putnam, F. Fukuyama, A. Giddens, P. Sztompka and A. Sadowski were also used. The second chapter contains a methodological framework for the purposes of study. Research assumptions, method and course of implementation of studies were discussed. The study is based on the qualitative method and the application of in-depth interview techniques. It was considered that the personal contact with old people will be more accurate than other research techniques to identify the context in which they social capital resources can be found. It is important because the transfer of developed abroad activating solutions and interpretations of old people actions may be ineffective or have negative external effects in the Polish context. Moreover, in the Polish science literature attention is paid to scarcity of gerontological research in accordance with the interpretive paradigm. Study involved 26 respondents aged 60 to 89 years living in Bialystok associated with one of two different institutions: nursing home for the elderly and University of the Third Age. By comparing the persons on two extremes of social activity it was possible to see similarities and differences in their capital equipment, and also in achievements of the life positions in the class structure and resources aimed at successful ageing. The third chapter presents the empirical analysis of the research results. This part outlines the way in which old people think about their ancestors and contemporary people. It also shows factors according to changes in their social position in the city, social issues which they consider most important for old people, their opinions about leisure time, opportunities and barriers of economic activity and types of old people social capital depending on the institution with which they are associated. Approach to the perception and use of internal disparities of seniors were also discussed. The analysis additionally contains the evaluation of senior citizens image in the polish mass media. This publication does not contain a strict ending. It only identifies the main conclusions of the research and potential directions of future analysis. Above all, older people could improve their position not by demanding increases in social benefits from which major parts are often taken away by their family members, but by highlighting their human, social and cultural capital. It is necessary to create favorable conditions for social and professional life of old people and their cooperation with members of local communities. Important role in this regard is played by institutions implementing three tasks: stimulating senior citizens' desire to satisfy previously unrealized needs; creating relationships between them so that they can solve their own problems and work for the others; and providing legal, social and vocational guidance. Stimulating cooperation between existing public, commercial and non-governmental sector organizations may serve to achieve these goals. The dissemination of bottom-up techniques of social capital building and checklist of essential features of Age-friendly Cities may also be important. -/- . (shrink)

Context: Many AI and machine-learning techniques are primarily focused on past-to-future extrapolations of statistical regularities in large amounts of data. We introduce a method that builds on an….

In this note we demonstrate that the results of observations in the EPR–Bohm–Bell experiment can be described within the classical probabilistic framework. However, the “quantum probabilities” have to be interpreted as conditional probabilities, where conditioning is with respect to fixed experimental settings. Our approach is based on the complete account of randomness involved in the experiment. The crucial point is that randomness of selections of experimental settings has to be taken into account within one consistent framework covering all events related (...) to the experiment. This approach can be applied to any complex experiment in which statistical data are collected for various experimental settings. (shrink)