Results for 'Variability selection'

998 found
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  1.  6
    Variable Selection and Data Quality Challenges in Impact Assessments.Monica Roman & Liliana-Olivia Lucaciu - 2021 - Postmodern Openings 12 (3Sup1):01-20.
    The research is focused on the role of two related key concepts, namely variables and data, in the impact evaluations of public projects. A difficult task of the evaluators and researchers is to select the appropriate variables to ensure the best model of reality and satisfy the evaluation methods' needs. Therefore, the paper aims to look at the current knowledge and discuss how variables and data could be best used to connect the evaluation models, the particularities of the intervention with (...)
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  2.  36
    Variable selection in logistic regression: The British English dative alternation.Daphne Theijssen - 2010 - In T. Icard & R. Muskens (eds.), Interfaces: Explorations in Logic, Language and Computation. Springer Berlin. pp. 87--101.
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  3.  20
    Repeat what after whom? Exploring variable selectivity in a cross-dialectal shadowing task.Abby Walker & Kathryn Campbell-Kibler - 2015 - Frontiers in Psychology 6.
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  4.  38
    Estimating latent causal influences: Tetrad III variable selection and bayesian parameter estimation.Richard Scheines - unknown
    The statistical evidence for the detrimental effect of exposure to low levels of lead on the cognitive capacities of children has been debated for several decades. In this paper I describe how two techniques from artificial intelligence and statistics help make the statistical evidence for the accepted epidemiological conclusion seem decisive. The first is a variable-selection routine in TETRAD III for finding causes, and the second a Bayesian estimation of the parameter reflecting the causal influence of Actual Lead Exposure, (...)
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  5.  60
    Developing and Applying the Propensity Score to Make Causal Inferences: Variable Selection and Stratification.Jill L. Adelson, D. B. McCoach, H. J. Rogers, Jonathan A. Adelson & Timothy M. Sauer - 2017 - Frontiers in Psychology 8.
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  6.  6
    Modeling Evaluations of Low-Level Sounds in Everyday Situations Using Linear Machine Learning for Variable Selection.Siegbert Versümer, Jochen Steffens, Patrick Blättermann & Jörg Becker-Schweitzer - 2020 - Frontiers in Psychology 11.
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  7.  18
    A Two-Stage Regularization Method for Variable Selection and Forecasting in High-Order Interaction Model.Yao Dong & He Jiang - 2018 - Complexity 2018:1-12.
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  8. Species selection on variability.Elisabeth A. Lloyd & Gould Stephen J. - 1993 - Proceedings of the National Academy of Sciences of the United States of America 90:595-599.
    this requirement for adaptations. Emergent characters are always potential adaptations. Not all selection processes produce adaptations, however. The key issue, in delineating a selection process, is the relationship between a character and fitness. The emergent character approach is more restrictive than alternative schemas that delineate selection..
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  9.  64
    Lexical selection and quantificational variability in embedded interrogatives.Utpal Lahiri - 2000 - Linguistics and Philosophy 23 (4):325-389.
  10. Selected problems of minimization of variable-valued logic formulas.Roland Phillipe Cuneo - 1975 - Urbana: Dept. of Computer Science, University of Illinois at Urbana-Champaign.
  11.  10
    Portfolio Selection with respect to the Probabilistic Preference in Variable Risk Appetites: A Double-Hierarchy Analysis Method.Ruitao Gu, Qingjuan Chen & Qiaoyun Zhang - 2021 - Complexity 2021:1-14.
    Traditional portfolio selection models mainly obtain the optimized portfolio ratio by focusing on the prices of financial products. However, investors’ multiple preferences and risk appetites are also significant factors that should be taken into account. In consideration of these two factors simultaneously, we propose a double-hierarchy model in this paper. Specifically, the first hierarchy quantifies investors’ risk appetite based on a historical simulation method and probabilistic preference theory. This hierarchy can be utilized to describe investors’ variable risk appetites and (...)
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  12.  9
    Selective attention and rate of discrimination learning as a function of intradimensional variability.Robert H. Rittle & Martin R. Baron - 1969 - Journal of Experimental Psychology 82 (2):327.
  13.  33
    Brief report negative selectivity effects and emotional selectivity effects in anxiety: Differential attentional correlates of state and trait variables.Elizabeth Rutherford, Colin MacLeod & Lynlee Campbell - 2004 - Cognition and Emotion 18 (5):711-720.
  14.  21
    Fair Subject Selection Procedures Must Consider Scientific Uncertainty and Variability in Risk and Benefit Perception.Charles Dupras & Elise Smith - 2020 - American Journal of Bioethics 20 (2):33-35.
    Volume 20, Issue 2, February 2020, Page 33-35.
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  15.  24
    The effects of selection and variability in studies of gender differences.Betsy Jane Backer & Larry V. Hedges - 1988 - Behavioral and Brain Sciences 11 (2):183-184.
  16.  30
    Causal inference in the presence of latent variables and selection bias.Peter Spirtes, Christopher Meek & Thomas Richardson - unknown
    Whenever the use of non-experimental data for discovering causal relations or predicting the outcomes of experiments or interventions is contemplated, two difficulties are routinely faced. One is the problem of latent variables, or confounders: factors influencing two or more measured variables may not themselves have been measured or recorded. The other is the problem of sample selection bias: values of the variables or features under study may themselves influence whether a unit is included in the data sample.
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  17. A polynomial time algorithm for determining Dag equivalence in the presence of latent variables and selection bias.Peter Spirtes - unknown
    if and only if for every W in V, W is independent of the set of all its non-descendants conditional on the set of its parents. One natural question that arises with respect to DAGs is when two DAGs are “statistically equivalent”. One interesting sense of “statistical equivalence” is “d-separation equivalence” (explained in more detail below.) In the case of DAGs, d-separation equivalence is also corresponds to a variety of other natural senses of statistical equivalence (such as representing the same (...)
     
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  18.  13
    Discussion of "learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables".Jiji Zhang & Ricardo Silva - unknown
    Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables is discussed. The problem of inferring the presence of latent variables, their relation to the observables, and the relation among themselves, is considered. A different approach for identifying causal structures, one that results in much simpler equivalence classes, is provided. It is found that the computational cost is much higher than the procedure implemented, but if datasets are individually of modest dimensionality, it (...)
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  19.  28
    W. V. Quine. Variables explained away. Proceedings of the American Philosophical Society, vol. 104 , pp. 343–347. Reprinted in Selected logic papers, by W. V. Quine, Random House, New York, pp. 227–235. [REVIEW]Bruce Lercher - 1967 - Journal of Symbolic Logic 32 (1):112.
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  20.  68
    The association of ethical judgment of advertising and selected advertising effectiveness response variables.Penny Simpson, Gene Brown & Robert Widing - 1998 - Journal of Business Ethics 17 (2):125-136.
    This study examines the potential effects of unethically perceived advertising executionson consumer responses to the ad. The study found that the unethical perceptions of the advertisement shown significantly and negatively affected all advertising response variables examined in the study.
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  21. Mothers' speech adjustments: The contribution of selected child listener variables.Toni G. Cross - 1977 - In Catherine E. Snow & Charles A. Ferguson (eds.), Talking to Children. Cambridge University Press. pp. 151--188.
     
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  22. A Guide for Evaluating and Selecting the Most Descriptive Discriminant Variables in Business and Economics Research.G. M. Zinkhan & M. R. Hyman - 1986 - Ama Conference Proceedings 1.
  23. Mother I'd rather do it myself: the contribution of selected child listener variables'.E. L. Newport, H. Gleitman & L. R. Gleitman - 1977 - In Catherine E. Snow & Charles A. Ferguson (eds.), Talking to Children. Cambridge University Press.
     
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  24.  16
    The association of ethical judgment of advertising and selected advertising effectiveness response variables.Penny M. Simpson, Gene Brown & I. I. Robert E. Widing - 1998 - Journal of Business Ethics 17 (2):125-136.
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  25. Variable-Binders as Functors.Achille C. Varzi - 1995 - Poznan Studies in the Philosophy of the Sciences and the Humanities 40:303-19.
    This work gives an extended presentation of the treatment of variable-binding operators adumbrated in [3:1993d]. Illustrative examples include elementary languages with quantifiers and lambda-equipped categorial languages. Some remarks are also offered to illustrate the philosophical import of the resulting picture. Particularly, a certain conception of logic emerges from the account: the view that logics are true theories in the model-theoretic sense, i.e. the result of selecting a certain class of models as the only “admissible” interpretation structures (for a given language).
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  26. Relationship between prospective memory ability and selective personality-variables.A. Searleman & K. A. Gaydusek - 1989 - Bulletin of the Psychonomic Society 27 (6):493-493.
  27.  6
    Variability of Practice, Information Processing, and Decision Making—How Much Do We Know?Stanisław H. Czyż - 2021 - Frontiers in Psychology 12.
    Decision-making is a complex action requiring efficient information processing. Specifically, in movement in which performance efficiency depends on reaction time, e.g., open-loop controlled movements, these processes may play a crucial role. Information processing includes three distinct stages, stimulus identification, response selection, and response programming. Mainly, response selection may play a substantial contribution to the reaction time and appropriate decision making. The duration of this stage depends on the number of possible choices an individual has to “screen” to make (...)
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  28.  14
    Differentiated variables of the seriousness level of the depression by means of the Rorschach Comprehensive System.Maricela Alfonseca Guerra, Pedro Fernández Olazábal & Roberto Vázquez Montes de Oca - 2018 - Humanidades Médicas 18 (3):598-612.
    RESUMEN Se desarrolló una investigación descriptiva transversal, con un enfoque cuantitativo, en la que la muestra fue seleccionada de manera intencional pura, no probabilística, según criterios establecidos por los autores del estudio. Quedó constituida por las variables del Sistema Comprehensivo Rorschach pertenecientes a 120 protocolos de sujetos con trastornos depresivos, de ellos 82 presentaron depresión moderada, y 38 depresión severa. Se aplicaron los siguientes métodos empíricos: entrevista, observación, Autoescala de Zung y Conde, y el Psicodiagnóstico de Rorschach. Los estadígrafos que (...)
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  29.  37
    Selected individual differences and collegians' ethical beliefs.Michael K. McCuddy & Barbara L. Peery - 1996 - Journal of Business Ethics 15 (3):261 - 272.
    This paper develops twenty hypotheses concerning the relationships among selected individual differences variables (locus of control, delay of gratification, gender, and race) and five different ethical beliefs. The results of a study of collegians provide support for seventeen out of twenty research hypotheses. As predicted, locus of control, delay of gratification, and race are related to ethical beliefs. Also as predicted, gender is not related to ethical beliefs.
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  30.  17
    Variability, Flexibility and Constraint: Towards the Evolutionary Roots of Teaching.Michael Chazan - 2018 - Review of Philosophy and Psychology 9 (4):799-806.
    This article considers the evolutionary roots of education in the hominin lineage drawing on the variability selection hypothesis. The variability selection hypothesis emphasizes adaptation to a variable environment and flexible behavior. However, the archaeological record indicates that there are some structuring factors including learned technical skill and knowledge, trends in the progressive development of technology, and the contextual influence on the adaptive advantage conferred by learning versus trial and error. Thus, the flexibility of hominin behavior includes (...)
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  31.  61
    On Selective Influences, Marginal Selectivity, and Bell/CHSH Inequalities.Ehtibar N. Dzhafarov & Janne V. Kujala - 2014 - Topics in Cognitive Science 6 (1):121-128.
    The Bell/CHSH inequalities of quantum physics are identical with the inequalities derived in mathematical psychology for the problem of selective influences in cases involving two binary experimental factors and two binary random variables recorded in response to them. The following points are made regarding cognitive science applications: (1) compliance of data with these inequalities is informative only if the data satisfy the requirement known as marginal selectivity; (2) both violations of marginal selectivity and violations of the Bell/CHSH inequalities are interpretable (...)
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  32.  9
    Human Variability and the Explore–Exploit Trade‐Off in Recommendation.Scott Cheng-Hsin Yang, Chirag Rank, Jake A. Whritner, Olfa Nasraoui & Patrick Shafto - 2023 - Cognitive Science 47 (4):e13279.
    The enormous scale of the available information and products on the Internet has necessitated the development of algorithms that intermediate between options and human users. These algorithms attempt to provide the user with relevant information. In doing so, the algorithms may incur potential negative consequences stemming from the need to select items about which it is uncertain to obtain information about users versus the need to select items about which it is certain to secure high ratings. This tension is an (...)
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  33.  22
    Function, Selection, and Innateness: The Emergence of Language Universals.Simon Kirby - 1999 - Oxford University Press UK.
    This book explores issues at the core of modern linguistics and cognitive science. Why are all languages similar in some ways and in others utterly different? Why do languages change and change variably? How did the human capacity for language evolve, and how far did it do so as an innate ability? Simon Kirby looks at these questions from a broad perspective, arguing that they can be studied together. The author begins by examining how far the universal properties of language (...)
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  34.  39
    Variability is not uniformly bad: The practices of psychologists generate research questions.Scott A. Huettel & Gregory Lockhead - 2001 - Behavioral and Brain Sciences 24 (3):418-419.
    The practices of economists increase experimental reproducibility relative to those of selected psychologists but should not be universally adopted. Procedures criticized by Hertwig and Ortmann as producing variable data are valuable, instead, for generating questions. The procedure of choice should depend on the theoretical goal: measure a known factor or learn what factors are important and need to be measured.
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  35.  49
    Sexual selection, the division of labor, and the evolution of sex differences.David C. Geary - 1998 - Behavioral and Brain Sciences 21 (3):444-447.
    Sexual selection traditionally involves male-male competition and female choice, but in some species, including humans, sexual selection can also involve female-female competition and male choice. The degree to which one aspect of sexual selection or another is manifest in human populations will be influenced by a host of social and ecological variables, including the operational sex ratio. These variables are discussed in connection with the relative contribution of sexual selection and the division of labor to the (...)
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  36.  13
    Gene essentiality and variability: What is the link? A within‐ and between‐species perspective.Tania Dubois-Mignon & Philippe Monget - 2022 - Bioessays 44 (11):2200132.
    A gene is considered essential when its loss of function results in a deleterious phenotype, hugely reducing the organism's viability or fitness. However, the link between the essentiality of a gene and its degree of polymorphism is unclear. In this review, we show that there is a place for a certain degree of variability, even for essential genes. We first study the role of infectious diseases in the prevalence of genetic disorders among humans: balancing selection has selected harmful (...)
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  37. Natural selection, plasticity, and the rationale for largest-scale trends.Hugh Desmond - 2018 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 68:25-33.
    Many have argued that there is no reason why natural selection should cause directional increases in measures such as body size or complexity across evolutionary history as a whole. In this paper I argue that this conclusion does not hold for selection for adaptations to environmental variability, and that, given the inevitability of environmental variability, trends in adaptations to variability are an expected feature of evolution by natural selection. As a concrete instance of this (...)
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  38. Bound Variables and Other Anaphors.Barbara H. Partee - 1978 - In Compositionality in Formal Semantics - Selected Papers by Barbara H. Partee. Blackwell. pp. 110--121.
     
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  39.  10
    Variable peroxisomal and mitochondrial targeting of alanine: Glyoxylate aminotransferase in mammalian evolution and disease.Christopher J. Danpure - 1997 - Bioessays 19 (4):317-326.
    Under the putative influence of dietary selection pressure, the subcellular distribution of alanine:glyoxylate aminotransferase 1 (AGT) has changed on many occasions during the evolution of mammals. Depending on the particular species, AGT can be found either in peroxisomes or mitochondria, or in both peroxisomes and mitochondria. This variable localization depends on the differential expression of N‐terminal mitochondrial and C‐terminal peroxisomal targeting sequences by the use of alternative transcription and translation initiation sites. AGT is peroxisomal in most humans, but it (...)
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  40.  13
    Global Variability in Deep Brain Stimulation Practices for Parkinson’s Disease.Abhimanyu Mahajan, Ankur Butala, Michael S. Okun, Zoltan Mari & Kelly A. Mills - 2021 - Frontiers in Human Neuroscience 15.
    IntroductionDeep brain stimulation has become a standard treatment option for select patients with Parkinson’s disease. The selection process and surgical procedures employed have, to date, not been standardized.MethodsA comprehensive 58-question web-based survey was developed with a focus on DBS referral practices and peri-operative management. The survey was distributed to the Parkinson’s Foundation Centers of Excellence, members of the International Parkinson’s Disease and Movement Disorders Society, and the Parkinson Study Group between December 2015 and May 2016.ResultsThere were 207 individual respondents (...)
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  41.  88
    Green and grue causal variables.Frederick Eberhardt - 2016 - Synthese 193 (4).
    The causal Bayes net framework specifies a set of axioms for causal discovery. This article explores the set of causal variables that function as relata in these axioms. Spirtes showed how a causal system can be equivalently described by two different sets of variables that stand in a non-trivial translation-relation to each other, suggesting that there is no “correct” set of causal variables. I extend Spirtes’ result to the general framework of linear structural equation models and then explore to what (...)
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  42.  18
    Selecting Subjects for Participation in Clinical Research: An Empirical Inquiry and Ethical Analysis.Charles Weijer - unknown
    Procedures for the selection of subjects for participation in randomized clinical trials--usually formalized as eligibility criteria in the study protocol--have both scientific and ethical implications. In this thesis, I undertake an examination of eligibility criteria at three stages in the genesis and dissemination of medical knowledge: clinical trial protocol, interpretation by investigators, and reporting of study results.In the first chapter, ethical issues in subject selection are reviewed and the main study questions are presented. In the second chapter, the (...)
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  43.  99
    Disability-selective abortion and the americans with disabilities act.Christopher L. Griffin Jr & Dov Fox - unknown
    This Article examines the influence of the Americans with Disabilities Act (ADA) on affective attitudes toward children with disabilities and on the incidence of disability-selective abortion. Applying regression analysis to U.S. natality data, we find that the birthrate of children with Down syndrome declined significantly in the years following the ADA's passage. Controlling for technological, demographic, and cultural variables suggests that the ADA may have encouraged prospective parents to prevent the existence of the very class of people the Act was (...)
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  44. Problems for Natural Selection as a Mechanism.Joyce C. Havstad - 2011 - Philosophy of Science 78 (3):512-523.
    Skipper and Millstein analyze natural selection and mechanism, concluding that natural selection is not a mechanism in the sense of the new mechanistic philosophy. Barros disagrees and provides his own account of natural selection as a mechanism. This discussion identifies a missing piece of Barros's account, attempts to fill in that piece, and reconsiders the revised account. Two principal objections are developed: one, the account does not characterize natural selection; two, the account is not mechanistic. Extensive (...)
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  45.  9
    Noncontextuality with marginal selectivity in reconstructing mental architectures.Ru Zhang & Ehtibar N. Dzhafarov - 2015 - Frontiers in Psychology 6:146136.
    We present a general theory of series-parallel mental architectures with selectively influenced stochastically non-independent components. A mental architecture is a hypothetical network of processes aimed at performing a task, of which we only observe the overall time it takes under variable parameters of the task. It is usually assumed that the network contains several processes selectively influenced by different experimental factors, and then the question is asked as to how these processes are arranged within the network, e.g., whether they are (...)
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  46. Darwin’s Unkindly Variable: Fitness and the Tautology Problem.John S. Wilkins - manuscript
    Few problems in the philosophy of evolutionary biology are more widely disseminated and discussed than the charge of Darwinian evolution being a tautology. The history is long and complex, and the issues are many, and despite the problem routinely being dismissed as an introductory-level issue, based on misunderstandings of evolution, it seems that few agree on what exactly these misunderstandings consist of. In this paper, I will try to comprehensively review the history and the issues. Then, I will try to (...)
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  47.  13
    Selecting between intelligent options.Roi Cohen Kadosh, Vincent Walsh & Avishai Henik - 2007 - Behavioral and Brain Sciences 30 (2):155-155.
    In this commentary we make two rejoinders to Jung & Haier (J&H). First, we highlight the response selection component in tasks as a confounding variable that may explain the parieto-frontal involvement in studies of human intelligence. Second, we suggest that efficient response selection may be an integral part of the definition of intelligence.
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  48.  22
    All the Right Noises: Background Variability Helps Early Word Learning.Katherine E. Twomey, Lizhi Ma & Gert Westermann - 2018 - Cognitive Science 42 (S2):413-438.
    Variability is prevalent in early language acquisition, but, whether it supports or hinders learning is unclear; while target variability has been shown to facilitate word learning, variability in competitor items has been shown to make the task harder. Here, we tested whether background variability could boost learning in a referent selection task. Two groups of 2-year-old children saw arrays of one novel and two known objects on a screen, and they heard a novel or known (...)
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  49.  13
    Schizophrenia: Developmental Variability Interacts with Risk Factors to Cause the Disorder.Andrei Szoke, Baptiste Pignon, Sarah Boster, Stéphane Jamain & Franck Schürhoff - 2020 - Bioessays 42 (11):2000038.
    A new etiological model is proposed for schizophrenia that combines variability‐enhancing nonspecific factors acting during development with more specific risk factors. This model is better suited than the current etiological models of schizophrenia, based on the risk factors paradigm, for predicting and/or explaining several important findings about schizophrenia: high co‐morbidity rates, low specificity of many risk factors, and persistence in the population of the associated genetic polymorphisms. Compared with similar models, e.g., de‐canalization, common psychopathology factor, sexual‐selection, or differential (...)
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  50.  24
    Natural selection according to Darwin: cause or effect?Ben Bradley - 2022 - History and Philosophy of the Life Sciences 44 (2):1-26.
    In the 1940s, the ‘modern synthesis’ (MS) of Darwinism and genetics cast genetic mutation and recombination as the source of variability from which environmental events naturally select the fittest, such ‘natural selection’ constituting the cause of evolution. Recent biology increasingly challenges this view by casting genes as followers and awarding the leading role in the genesis of adaptations to the agency and plasticity of developing phenotypes—making natural selection a consequence of other causal processes. Both views of natural (...)
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