Results for 'statistical criteria of fairness'

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  1. On statistical criteria of algorithmic fairness.Brian Hedden - 2021 - Philosophy and Public Affairs 49 (2):209-231.
    Predictive algorithms are playing an increasingly prominent role in society, being used to predict recidivism, loan repayment, job performance, and so on. With this increasing influence has come an increasing concern with the ways in which they might be unfair or biased against individuals in virtue of their race, gender, or, more generally, their group membership. Many purported criteria of algorithmic fairness concern statistical relationships between the algorithm’s predictions and the actual outcomes, for instance requiring that the (...)
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  2. Equalized Odds is a Requirement of Algorithmic Fairness.David Gray Grant - 2023 - Synthese 201 (3).
    Statistical criteria of fairness are formal measures of how an algorithm performs that aim to help us determine whether an algorithm would be fair to use in decision-making. In this paper, I introduce a new version of the criterion known as “Equalized Odds,” argue that it is a requirement of procedural fairness, and show that it is immune to a number of objections to the standard version.
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  3.  59
    Socrates in the schools from Scotland to Texas: Replicating a study on the effects of a Philosophy for Children program.Frank Fair, Lory E. Haas, Carol Gardosik, Daphne D. Johnson, Debra P. Price & Olena Leipnik - 2015 - Journal of Philosophy in Schools 2 (1):18-37.
    In this article we report the findings of a randomised control clinical trial that assessed the impact of a Philosophy for Children program and replicated a previous study conducted in Scotland by Topping and Trickey. A Cognitive Abilities Test was administered as a pretest and a posttest to randomly selected experimental groups and control groups. The students in the experimental group engaged in philosophy lessons in a setting of structured, collaborative inquiry in their language arts classes for one hour per (...)
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  4.  49
    Socrates in the schools from Scotland to Texas: Replicating a study on the effects of a Philosophy for Children program.Frank Fair, Lory E. Haas, Carol Gardoski, Daphne Johnson, Debra Price & Olena Leipnik - 2015 - Journal of Philosophy in Schools 2 (1).
    In this article we report the findings of a randomised control clinical trial that assessed the impact of a Philosophy for Children program and replicated a previous study conducted in Scotland by Topping and Trickey. A Cognitive Abilities Test was administered as a pretest and a posttest to randomly selected experimental groups and control groups. The students in the experimental group engaged in philosophy lessons in a setting of structured, collaborative inquiry in their language arts classes for one hour per (...)
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  5.  43
    Algorithmic fairness through group parities? The case of COMPAS-SAPMOC.Francesca Lagioia, Riccardo Rovatti & Giovanni Sartor - 2023 - AI and Society 38 (2):459-478.
    Machine learning classifiers are increasingly used to inform, or even make, decisions significantly affecting human lives. Fairness concerns have spawned a number of contributions aimed at both identifying and addressing unfairness in algorithmic decision-making. This paper critically discusses the adoption of group-parity criteria (e.g., demographic parity, equality of opportunity, treatment equality) as fairness standards. To this end, we evaluate the use of machine learning methods relative to different steps of the decision-making process: assigning a predictive score, linking (...)
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  6.  47
    Fairness and Risk: An Ethical Argument for a Group Fairness Definition Insurers Can Use.Joachim Baumann & Michele Loi - 2023 - Philosophy and Technology 36 (3):1-31.
    Algorithmic predictions are promising for insurance companies to develop personalized risk models for determining premiums. In this context, issues of fairness, discrimination, and social injustice might arise: Algorithms for estimating the risk based on personal data may be biased towards specific social groups, leading to systematic disadvantages for those groups. Personalized premiums may thus lead to discrimination and social injustice. It is well known from many application fields that such biases occur frequently and naturally when prediction models are applied (...)
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  7.  15
    Criteria of test bias: do the statistical models fit reality?Gordon M. Harrington - 1980 - Behavioral and Brain Sciences 3 (3):345-345.
  8. Gradual (in) compatibility of fairness criteria.Hertweck Corinna & Tim Räz - 2022 - Proceedings of the AAAI Conference on Artificial Intelligence 36 (11):11926-11934.
     
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  9.  30
    How to be Real and Conventional: A Discussion of the Quality Criteria of Official Statistics.Alain Desrosières - 2009 - Minerva 47 (3):307-322.
    Are the categories used to study the social world and acting on it real or conventional ? An empirical answer to that question is given by an analysis of the debates about the quality of statistics produced by the European National Institues of statistics in the 1990s. Six criteria of quality were then specified: relevance, accuracy, timeliness, accessibility, comparability and coherence. How do statisticians and users of statistics deal with the tension produced by their objects being both real (they (...)
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  10. Four Faces of Fair Subject Selection.Katherine Witte Saylor & Douglas MacKay - 2020 - American Journal of Bioethics 20 (2):5-19.
    Although the principle of fair subject selection is a widely recognized requirement of ethical clinical research, it often yields conflicting imperatives, thus raising major ethical dilemmas regarding participant selection. In this paper, we diagnose the source of this problem, arguing that the principle of fair subject selection is best understood as a bundle of four distinct sub-principles, each with normative force and each yielding distinct imperatives: (1) fair inclusion; (2) fair burden sharing; (3) fair opportunity; and (4) fair distribution of (...)
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  11.  24
    Criteria For the Fairness of Health Financing Decisions: A Scoping Review.Elina Dale, Elizabeth Peacocke, Espen Movik, Alex Voorhoeve, Trygve Ottersen, Ole Frithjof Norheim, Christoph Kurowski, Unni Gopinathan & David B. Evans - 2023 - Health Policy and Planning 38 (1):i13–i35.
    Due to constraints on institutional capacity and financial resources, the road to universal health coverage (UHC) involves difficult policy choices. To assist with these choices, scholars and policy makers have done extensive work on criteria to assess the substantive fairness of health financing policies: their impact on the distribution of rights, duties, benefits and burdens on the path towards UHC. However, less attention has been paid to the procedural fairness of health financing decisions. The Accountability for Reasonableness (...)
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  12. Kinds and criteria of scientific laws.Mario Bunge - 1961 - Philosophy of Science 28 (3):260-281.
    Factual statements that might qualify for the status of law statements are classed from various philosophically relevant standpoints (referents, precision, structure of predicates, extension, systemicity, inferential power, inception, ostensiveness, testability, levels, and determination categories). More than seven dozen of not mutually exclusive kinds of lawlike statements emerge. Strictly universal and counterfactually powerful statements are seen to constitute just one kind of lawlike statements; classificatory and some statistical laws, e.g., are shown not to comply with the requirements of universality and (...)
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  13.  67
    Diagnosing the Diagnostic and Statistical Manual of Mental Disorders.Rachel Cooper - 2014 - Karnac.
    Diagnosing the Diagnostic and Statistical Manual of Mental Disorders (Karnac, 2014) evaluates the latest edition of the D.S.M.The publication of D.S.M-5 in 2013 brought many changes. Diagnosing the Diagnostic and Statistical Manual of Mental Disorders asks whether the D.S.M.-5 classifies the right people in the right way. It is aimed at patients, mental health professionals, and academics with an interest in mental health. Issues addressed include: How is the D.S.M. affected by financial links with the pharmaceutical industry? To (...)
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  14.  14
    Critical evaluation of the guidelines of the Finnish Advisory Board on Research Integrity and of their application.Erja Moore & Liisa Räsänen - 2016 - Research Integrity and Peer Review 1 (1).
    We have national guidelines for the responsible conduct of research (RCR) and procedures for handling allegations of misconduct in Finland. The guidelines have been formulated and updated by the Finnish Advisory Board on Research Integrity (TENK). In this article, we introduce and evaluate the national RCR guidelines. We also present statistics of alleged and proven RCR violation cases and frequency of appeals to TENK on the decisions or procedures of the primary institutions. In addition, we analyze the available data on (...)
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  15.  64
    Criteria for Responsible Business Practice in SMEs: An Exploratory Case of U.K. Fair Trade Organisations.Geoff Moore, Richard Slack & Jane Gibbon - 2009 - Journal of Business Ethics 89 (2):173-188.
    This paper develops a set of 16 criteria, divided into four groupings, for responsible business practice (RBP) in Small and Medium-Sized Enterprises (SMEs) drawn from the existing SME/RBP literature. The current lack of a general set of criteria against which such activity can be judged is noted and this deficit is redressed. In order to make an initial assessment in support of the criteria so derived, an exploratory feasibility study of RBP in U.K. Fair Trade organisations was (...)
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  16. Two problems with deriving a duty.Of Fairness - 2003 - Public Affairs Quarterly 17 (4):253.
     
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  17.  8
    Suspicious minds and views of fairness.Øivind Schøyen - forthcoming - Theory and Decision:1-22.
    Do people with different views of what is fair attribute different intentions to actions? In a novel experimental design, participants were significantly more likely to attribute a no-redistribution vote to selfishness if they considered redistribution as being fair. I define this—attributing actions that do not adhere to one’s own fairness view to selfishness—as suspicious attribution. I develop a theory of intention attribution to show how suspicious attribution arises from two other findings from the experiment: the participants underestimate the number (...)
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  18.  6
    Ethical Issues of Fair Subject Selection in the Research.Sifat Rahman - 2016 - Bangladesh Journal of Bioethics 6 (3):37-40.
    Ethics and ethical principles extend to all spheres of human activity. They apply to our dealings with each other, with animals and the environment. They should govern our interactions not only in conducting research but also in commerce, employment and politics. Ethics serve to identify good, desirable or acceptable conduct and provide reasons for those conclusions. Fair subject selection is the first and foremost concern which must be ensured before initiating a research project. Which subjects may enroll in the research (...)
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  19.  33
    Girls Will Be Girls, in a League of Their Own – The Rules for Women’s Sport as a Protected Category in the Olympic Games and the Question of ‘Doping Down’.Angela Schneider - 2020 - Sport, Ethics and Philosophy 14 (4):478-495.
    Recent debate by feminist scholars in philosophy of sport has been focused on the status of women’s sport as a protected category. Positions have varied significantly, from no need for a protected category anymore—to allow women’s sport to flourish and to give them a fair opportunity, given that men’s sport still dominates, just as it has in the past.It will be argued that: i) the concept of a ‘protected category’ is tied logically to the concept of fair play and has (...)
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  20.  96
    Statistical Model Selection Criteria and the Philosophical Problem of Underdetermination.I. A. Kieseppä - 2001 - British Journal for the Philosophy of Science 52 (4):761-794.
    I discuss the philosophical significance of the statistical model selection criteria, in particular their relevance for philosophical of underdetermination. I present an easily comprehensible account of their simplest possible application and contrast it with their application to curve-fitting problems. I embed philosophers' earlier discussion concerning the situations in which the criteria yield implausible results into a more general framework. Among other things, I discuss a difficulty which is related to the so-called subfamily problem, and I show that (...)
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  21.  7
    Statistical Model Selection Criteria and the Philosophical Problem of Underdetermination.I. A. KieseppÄ - 2001 - British Journal for the Philosophy of Science 52 (4):761-794.
    I discuss the philosophical significance of the statistical model selection criteria, in particular their relevance for philosophical problems of underdetermination. I present an easily comprehensible account of their simplest possible application and contrast it with their application to curve‐fitting problems. I embed philosophers' earlier discussion concerning the situations in which the criteria yield implausible results into a more general framework. Among other things, I discuss a difficulty which is related to the so‐called subfamily problem, and I show (...)
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  22.  55
    Weapons of moral construction? On the value of fairness in algorithmic decision-making.Simona Tiribelli & Benedetta Giovanola - 2022 - Ethics and Information Technology 24 (1):1-13.
    Fairness is one of the most prominent values in the Ethics and Artificial Intelligence (AI) debate and, specifically, in the discussion on algorithmic decision-making (ADM). However, while the need for fairness in ADM is widely acknowledged, the very concept of fairness has not been sufficiently explored so far. Our paper aims to fill this gap and claims that an ethically informed re-definition of fairness is needed to adequately investigate fairness in ADM. To achieve our goal, (...)
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  23.  14
    Deciding the Criteria Is Not Enough: Moral Issues to Consider for a Fair Allocation of Scarce ICU Resources.Davide Battisti & Mario Picozzi - 2022 - Philosophies 7 (5):92.
    During the first wave of the COVID-19 pandemic in Italy, practitioners had to make tragic decisions regarding the allocation of scarce resources in the ICU. The Italian debate has paid a lot of attention to identifying the specific regulatory criteria for the allocation of resources in the ICU; in this paper, however, we argue that deciding such criteria is not enough for the implementation of fair and transparent allocative decisions. In this respect, we discuss three ethical issues: (a) (...)
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  24.  23
    Updating Statistical Measures of Causal Strength.Hrishikesh Vinod - 2020 - Science and Philosophy 8 (1):3-20.
    We address Northcott’s criticism of Pearson’s correlation coefficient ‘r’ in measuring causal strength by replacing Pearson’s linear regressions by nonparametric nonlinear kernel regressions. Although new proof shows that Suppes’ intuitive causality condition is neither necessary nor sufficient, we resurrect Suppes’ probabilistic causality theory by using nonlinear tools. We use asymmetric generalized partial correlation coefficients from Vinod [2014] as our third criterion in addition to two more criteria. We aggregate the three criteria into one unanimity index, UI in [-100; (...)
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  25. Fairness in Machine Learning: Against False Positive Rate Equality as a Measure of Fairness.Robert Long - 2021 - Journal of Moral Philosophy 19 (1):49-78.
    As machine learning informs increasingly consequential decisions, different metrics have been proposed for measuring algorithmic bias or unfairness. Two popular “fairness measures” are calibration and equality of false positive rate. Each measure seems intuitively important, but notably, it is usually impossible to satisfy both measures. For this reason, a large literature in machine learning speaks of a “fairness tradeoff” between these two measures. This framing assumes that both measures are, in fact, capturing something important. To date, philosophers have (...)
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  26. Causation and the flow of energy.David Fair - 1979 - Erkenntnis 14 (3):219 - 250.
    Causation has traditionally been analyzed either as a relation of nomic dependence or as a relation of counterfactual dependence. I argue for a third program, a physicalistic reduction of the causal relation to one of energy-momentum transference in the technical sense of physics. This physicalistic analysis is argued to have the virtues of easily handling the standard counterexamples to the nomic and counterfactual analyses, offering a plausible epistemology for our knowledge of causes, and elucidating the nature of the relation between (...)
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  27. Fair equality of chances for prediction-based decisions.Michele Loi, Anders Herlitz & Hoda Heidari - forthcoming - Economics and Philosophy:1-24.
    This article presents a fairness principle for evaluating decision-making based on predictions: a decision rule is unfair when the individuals directly impacted by the decisions who are equal with respect to the features that justify inequalities in outcomes do not have the same statistical prospects of being benefited or harmed by them, irrespective of their socially salient morally arbitrary traits. The principle can be used to evaluate prediction-based decision-making from the point of view of a wide range of (...)
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  28.  42
    Algorithmic Fairness and Statistical Discrimination.John W. Patty & Elizabeth Maggie Penn - 2022 - Philosophy Compass 18 (1):e12891.
    Algorithmic fairness is a new interdisciplinary field of study focused on how to measure whether a process, or algorithm, may unintentionally produce unfair outcomes, as well as whether or how the potential unfairness of such processes can be mitigated. Statistical discrimination describes a set of informational issues that can induce rational (i.e., Bayesian) decision-making to lead to unfair outcomes even in the absence of discriminatory intent. In this article, we provide overviews of these two related literatures and draw (...)
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  29.  90
    Fair division of indivisible items.Steven J. Brams, Paul H. Edelman & Peter C. Fishburn - 2003 - Theory and Decision 55 (2):147-180.
    This paper analyzes criteria of fair division of a set of indivisible items among people whose revealed preferences are limited to rankings of the items and for whom no side payments are allowed. The criteria include refinements of Pareto optimality and envy-freeness as well as dominance-freeness, evenness of shares, and two criteria based on equally-spaced surrogate utilities, referred to as maxsum and equimax. Maxsum maximizes a measure of aggregate utility or welfare, whereas equimax lexicographically maximizes persons' utilities (...)
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  30. Statistical model selection criteria and bayesianism.I. A. Kieseppä - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S141 - S152.
    Two Bayesian approaches to choosing between statistical models are contrasted. One of these is an approach which Bayesian statisticians regularly use for motivating the use of AIC, BIC, and other similar model selection criteria, and the other one is a new approach which has recently been proposed by Bandyopadhayay, Boik, and Basu. The latter approach is criticized, and the basic ideas of the former approach are presented in a way that makes them accessible to a philosophical audience. It (...)
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  31.  9
    What is fair? Ethical analysis of triage criteria and disability rights during the COVID-19 pandemic and the German legislation.Elena Ana Francesca Göttert - forthcoming - Journal of Medical Ethics.
    This essay discusses the ethical challenges and dilemmas in allocating scarce medical resources during the COVID-19 pandemic, using the German legislative process as a starting point. It is guided by the right to non-discrimination of people with disability and generally contrasts utilitarian and rights-based principles of allocation. Three approaches that were suggested in the German discussion, are presented, the lottery principle, the first come first served principle and the probability to survive principle. Arguments in favour and against each principle are (...)
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  32.  24
    Statistical Model Selection Criteria and Bayesianism.I. A. Kieseppä - 2001 - Philosophy of Science 68 (S3):S141-S152.
    Two Bayesian approaches to choosing between statistical models are contrasted. One of these is an approach which Bayesian statisticians regularly use for motivating the use of AIC, BIC, and other similar model selection criteria, and the other one is a new approach which has recently been proposed by Bandyopadhayay, Boik, and Basu. The latter approach is criticized, and the basic ideas of the former approach are presented in a way that makes them accessible to a philosophical audience. It (...)
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  33. A statistical referential theory of content: Using information theory to account for misrepresentation.Marius Usher - 2001 - Mind and Language 16 (3):331-334.
    A naturalistic scheme of primitive conceptual representations is proposed using the statistical measure of mutual information. It is argued that a concept represents, not the class of objects that caused its tokening, but the class of objects that is most likely to have caused it (had it been tokened), as specified by the statistical measure of mutual information. This solves the problem of misrepresentation which plagues causal accounts, by taking the representation relation to be determined via ordinal relationships (...)
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  34.  9
    Influence of Supervisors’ Fairness on Work Climate, Job Satisfaction, Task Performance, and Helping Behavior of Health Workers During COVID-19 Outbreak.WenXin Wang & Ahotovi T. Ahoto - 2022 - Frontiers in Psychology 13.
    The need for supervisors to exhibit fairness was a key motivating tool for effective health service delivery during the initial stages of the COVID-19 outbreak. Nonetheless, the number of deaths and hospitalization was alarming health workers were actively working throughout the time. This study explores the role of supervisors’ fairness in creating a work climate and job satisfaction that promote workers’ task performance and helping behaviors. The researchers adopted a quantitative method with a questionnaire used for data collection. (...)
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  35.  11
    Estimating nonbelief: Translation, cultural adaptation, and statistical validation of the Nonreligious-Nonspiritual Scale in a nationwide Greek sample.Anna Polemikou, Eirini Zartaloudi & Nikitas Polemikos - 2019 - Archive for the Psychology of Religion 41 (2):105-122.
    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 (...)
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  36.  19
    Socrates in the schools: Gains at three-year follow-up.Frank Fair, Lory E. Haas, Carol Gardosik, Daphne Johnson, Debra Price & Olena Leipnik - 2015 - Journal of Philosophy in Schools 2 (2).
    Three recent research reports by Topping and Trickey, by Fair and colleagues, and by Gorard, Siddiqui and Huat See have produced data that support the conclusion that a Philosophy for Children program of one-hour-per-week structured discussions has a marked positive impact on students. This article presents data from a follow up study done three years after the completion of the study reported in Fair et al.. The data show that the positive gains in scores on the Cognitive Abilities Test were (...)
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  37. A dual-networks architecture of top-down control.Nico U. F. Dosenbach, Damien A. Fair, Alexander L. Cohen, Bradley L. Schlaggar & Steven E. Petersen - 2008 - Trends in Cognitive Sciences 12 (3):99-105.
  38. Natural versus assisted reproduction. In search of fairness.Daniela Cutas & Lisa Bortolotti - 2010 - Studies in Ethics, Law and Technology 4 (1).
    Whilst the choice of becoming a parent in the natural way is unregulated all over Europe (and proposals of regulation raise vehement objections), most European countries have (either legal or professional) regulations imposing criteria that people must satisfy if they wish to gain access to assisted reproduction and parenting. These criteria may include relationship status, age, sexual orientation, financial stability, health, and willingness to attend parenting classes. The existence of regulations in this area is largely accepted, and the (...)
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  39.  73
    The Fallacy of Many Questions.Frank Fair - 1973 - Southwestern Journal of Philosophy 4 (1):89-92.
    In this article I explore two accounts of the Fallacy of Many Questions made famous by the question "Have you stopped beating your wife?" The accounts are from the works of Lennart Aqvist and Noel Belnap, and the two authors differ in their accounts of the fallacy. Then I give my own account based on understanding a facet of erotetic logic, i. e., the logic of questions.
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  40.  98
    A brief historicity of the Diagnostic and Statistical Manual of Mental Disorders: Issues and implications for the future of psychiatric canon and practice. [REVIEW]Shadia Kawa & James Giordano - 2012 - Philosophy, Ethics, and Humanities in Medicine 7:1-9.
    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 (...)
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  41.  8
    A Statistical Referential Theory of Content: Using Information Theory to Account for Misrepresentation.Marius Usher - 2001 - Mind and Language 16 (3):311-334.
    A naturalistic scheme of primitive conceptual representations is proposed using the statistical measure of mutual information. It is argued that a concept represents, not the class of objects that caused its tokening, but the class of objects that is most likely to have caused it (had it been tokened), as specified by the statistical measure of mutual information. This solves the problem of misrepresentation which plagues causal accounts, by taking the representation relation to be determined via ordinal relationships (...)
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  42.  27
    Philosophy of Psychology.Frank Fair - 1985 - Teaching Philosophy 8 (2):176-177.
  43.  9
    La hegemonia en su mutuo anudamiento óntico-ontológico en la teoria política de Ernesto Laclau.Hernán Fair - 2019 - Trans/Form/Ação 42 (2):165-194.
    Resumen: Este artículo analiza cómo se encadenan los planos de lo ontológico y lo óntico en la Teoría Política del Discurso de Ernesto Laclau. Se concluye que, desde el plano ontológico, la hegemonía constituye una forma político-discursiva de articulación y universalización relativa, precaria, contingente y parcial de los particularismos en significantes vacíos que actúan como puntos nodales. Desde el nivel fenoménico-político, Laclau pone en juego estos conceptos para mostrar el desplazamiento y contaminación discursiva entre lo particular y lo universal en (...)
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  44.  16
    Epistemological assumptions to the development of a method of socio-political discourse analysis from the perspective of Laclau.Hernán Fair - 2014 - Cinta de Moebio 51:137-155.
    The paper examines the epistemological side of the Laclau’s political theory, incorporating tools that aim to convert discourse theory into a rigorous, useful, and valid method for socio-political and critical analysis in social sciences. In the first part, it displays some epistemological assumptions and arguments. The second part analyses some problematic epistemological aspects derived from the arguments. The proposal is based on Laclau’s main texts, complementing the analysis with related tools from critical hermeneutics and existential phenomenology. It is argued that (...)
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  45. Compendium of the foundations of classical statistical physics.Jos Uffink - 2005 - In Jeremy Butterfield & John Earman (eds.), Handbook of the Philosophy of Physics. Elsevier.
    Roughly speaking, classical statistical physics is the branch of theoretical physics that aims to account for the thermal behaviour of macroscopic bodies in terms of a classical mechanical model of their microscopic constituents, with the help of probabilistic assumptions. In the last century and a half, a fair number of approaches have been developed to meet this aim. This study of their foundations assesses their coherence and analyzes the motivations for their basic assumptions, and the interpretations of their central (...)
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  46.  30
    Domietta Torlasco (2008) The Time of the Crime: Phenomenology, Psychoanalysis, Italian Film.Alan Fair - 2010 - Film-Philosophy 14 (1):303-309.
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  47.  98
    Provability and mathematical truth.David Fair - 1984 - Synthese 61 (3):363 - 385.
    An insight, Central to platonism, That the objects of pure mathematics exist "in some sense" is probably essential to any adequate account of mathematical truth, Mathematical language, And the objectivity of the mathematical enterprise. Yet a platonistic ontology makes how we can come to know anything about mathematical objects and how we use them a dark mystery. In this paper I propose a framework for reconciling a representation-Relative provability theory of mathematical truth with platonism's valid insights. Besides helping to clarify (...)
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  48.  73
    Socrates in the schools: Gains at three-year follow-up.Frank Fair, Lory E. Haas, Carol Gardoski, Daphne Johnson, Debra Price & Olena Leipnik - 2015 - Journal of Philosophy in Schools 2 (2).
    Three recent research reports by Topping and Trickey, by Fair and colleagues, and by Gorard, Siddiqui and Huat See have produced data that support the conclusion that a Philosophy for Children program of one-hour-per-week structured discussions has a marked positive impact on students. This article presents data from a follow up study done three years after the completion of the study reported in Fair et al.. The data show that the positive gains in scores on the Cognitive Abilities Test were (...)
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  49.  23
    Fallacies of statistical substitution.Michael Scriven - 1987 - Argumentation 1 (3):333-349.
    Fallacies are the ‘ideal types of improper inference’, named only because they represent a common or seductive error. Naming them facilitates identification (reducing ‘false negatives’ in argument evaluation), but increases the risk of false positives; it is essentially a cost-effectiveness issue whether to introduce a new name. Statistical fallacies include errors of elementary experimental design, but also conceptual confusions, e.g. of cause with correlation, of association with guilt, where an illicit substitution is made. The focus here is on recent (...)
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    Socrates in the schools: Gains at three-year follow-up.Frank Fair, Lory E. Haasa, Carol Gardosik, Daphne Johnson, Debra Price & Olena Leipnik - 2015 - Journal of Philosophy in Schools 2 (2):5-16.
    Three recent research reports by Topping and Trickey, by Fair and colleagues, and by Gorard, Siddiqui and Huat See have produced data that support the conclusion that a Philosophy for Children program of one-hour-per-week structured discussions has a marked positive impact on students. This article presents data from a follow up study done three years after the completion of the study reported in Fair et al.. The data show that the positive gains in scores on the Cognitive Abilities Test were (...)
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