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  1. From Phenomenological-Hermeneutical Approaches to Realist Perspectivism.Mahdi Khalili - 2022 - European Journal for Philosophy of Science 12 (4):1-26.
    This paper draws on the phenomenological-hermeneutical approaches to philosophy of science to develop realist perspectivism, an integration of experimental realism and perspectivism. Specifically, the paper employs the distinction between “manifestation” and “phenomenon” and it advances the view that the evidence of a real entity is “explorable” in order to argue that instrumentally-mediated robust evidence indicates real entities. Furthermore, it underpins the phenomenological notion of the horizonal nature of scientific observation with perspectivism, so accounting for scientific pluralism even in the cases (...)
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  2. Should Explanations Omit the Details?Darren Bradley - 2020 - British Journal for the Philosophy of Science 71 (3):827-853.
    There is a widely shared belief that the higher-level sciences can provide better explanations than lower-level sciences. But there is little agreement about exactly why this is so. It is often suggested that higher-level explanations are better because they omit details. I will argue instead that the preference for higher-level explanations is just a special case of our general preference for informative, logically strong, beliefs. I argue that our preference for informative beliefs entirely accounts for why higher-level explanations are sometimes (...)
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  3. Crystallized Regularities.Verónica Gómez Sánchez - 2020 - Journal of Philosophy 117 (8):434-466.
    This essay proposes a reductive account of robust macro-regularities. On the view proposed, regularities can earn their elite scientific status by featuring in good summaries of restricted regions in the space of physical possibilities: our “modal neighborhoods.” I argue that this view vindicates “nomic foundationalism”, while doing justice to the practice of invoking physically contingent generalizations in higher-level explanations. Moreover, the view suggests an explanation for the particular significance of robust macro-regularities: we rely on summaries of our modal neighborhoods when (...)
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  4. Robust Biomarkers: Methodologically Tracking Causal Processes in Alzheimer’s Measurement.Vadim Keyser & Louis Sarry - 2020 - In Barbara Osimani & Adam La Caze (eds.), Uncertainty in Pharmacology. pp. 289-318.
    In biomedical measurement, biomarkers are used to achieve reliable prediction of, and useful causal information about patient outcomes while minimizing complexity of measurement, resources, and invasiveness. A biomarker is an assayable metric that discloses the status of a biological process of interest, be it normative, pathophysiological, or in response to intervention. The greatest utility from biomarkers comes from their ability to help clinicians (and researchers) make and evaluate clinical decisions. In this paper we discuss a specific methodological use of clinical (...)
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  5. ¿Cómo retractarse en ciencia?Quan-Hoang Vuong - 2020 - Investigación y Ciencia 45 (530):1-2.
    La comunidad científica debe acordar cuál es la información esencial que hay que comunicar al retirar un artículo.
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  6. Retractions: The Good, the Bad, and the Ugly.Quan-Hoang Vuong - 2020 - LSE Impact of Social Sciences 2020 (2):1-4.
    Retractions play an important role in research communication by highlighting and explaining how research projects have failed and thereby preventing these mistakes from being repeated. However, the process of retraction and the data it produces is often sparse or incomplete. Drawing on evidence from 2046 retraction records, Quan-Hoang Vuong discusses the emerging trends this data highlights and argues for the need to enforce reporting standards for retractions, as a means of de-stigmatising retraction and rewarding practising integrity in the scholarly record.
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  7. Vindicating Methodological Triangulation.Remco Heesen, Liam Kofi Bright & Andrew Zucker - 2019 - Synthese 196 (8):3067-3081.
    Social scientists use many different methods, and there are often substantial disagreements about which method is appropriate for a given research question. In response to this uncertainty about the relative merits of different methods, W. E. B. Du Bois advocated for and applied “methodological triangulation”. This is to use multiple methods simultaneously in the belief that, where one is uncertain about the reliability of any given method, if multiple methods yield the same answer that answer is confirmed more strongly than (...)
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  8. The Epistemic Virtue of Robustness in Climate Modeling (MA Dissertation).Parjanya Joshi - 2019 - Dissertation, Tata Institute of Social Sciences
    The aim of this dissertation is to comprehensively study various robustness arguments proposed in the literature from Levins to Lloyd as well as the opposition offered to them and pose enquiry into the degree of epistemic virtue that they provide to the model prediction results with respect to climate science and modeling. Another critical issue that this dissertation strives to examine is that of the actual epistemic notion that is operational when scientists and philosophers appeal to robustness. In attempting to (...)
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  9. Replicability or Reproducibility? On the Replication Crisis in Computational Neuroscience and Sharing Only Relevant Detail.Marcin Miłkowski, Witold M. Hensel & Mateusz Hohol - 2018 - Journal of Computational Neuroscience 3 (45):163-172.
    Replicability and reproducibility of computational models has been somewhat understudied by “the replication movement.” In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and model reproductions in computational neuroscience. We contend that model replicability, or independent researchers' ability to obtain the same output using original code and data, and model reproducibility, or independent researchers' ability to recreate a model without original code, (...)
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  10. Abductively Robust Inference.Finnur Dellsén - 2017 - Analysis 77 (1):20-29.
    Inference to the Best Explanation (IBE) is widely criticized for being an unreliable form of ampliative inference – partly because the explanatory hypotheses we have considered at a given time may all be false, and partly because there is an asymmetry between the comparative judgment on which an IBE is based and the absolute verdict that IBE is meant to license. In this paper, I present a further reason to doubt the epistemic merits of IBE and argue that it motivates (...)
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  11. Robustness and Independent Evidence.Jacob Stegenga & Tarun Menon - 2017 - Philosophy of Science 84 (3):414-435.
    Robustness arguments hold that hypotheses are more likely to be true when they are confirmed by diverse kinds of evidence. Robustness arguments require the confirming evidence to be independent. We identify two kinds of independence appealed to in robustness arguments: ontic independence —when the multiple lines of evidence depend on different materials, assumptions, or theories—and probabilistic independence. Many assume that OI is sufficient for a robustness argument to be warranted. However, we argue that, as typically construed, OI is not a (...)
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  12. The Belief Illusion.J. Christopher Jenson - 2016 - British Journal for the Philosophy of Science 67 (4):965-995.
    I offer a new argument for the elimination of ‘beliefs’ from cognitive science based on Wimsatt’s concept of robustness and a related concept of fragility. Theoretical entities are robust if multiple independent means of measurement produce invariant results in detecting them. Theoretical entities are fragile when multiple independent means of detecting them produce highly variant results. I argue that sufficiently fragile theoretical entities do not exist. Recent studies in psychology show radical variance between what self-report and non-verbal behaviour indicate about (...)
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  13. Counterfactually Robust Inferences, Modally Ruled Out Inferences, and Semantic Holism.Pietro Salis - 2016 - AL-Mukhatabat (16):111-35.
    It is often argued that inferential role semantics (IRS) entails semantic holism as long as theorists fail to answer the question about which inferences, among the many, are meaning-constitutive. Since analyticity, as truth in virtue of meaning, is a widely dismissed notion in indicating which inferences determine meaning, it seems that holism follows. Semantic holism is often understood as facing problems with the stability of content and many usual explanations of communication. Thus, we should choose between giving up IRS, to (...)
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  14. Robustness and Reality.Markus I. Eronen - 2015 - Synthese 192 (12):3961-3977.
    Robustness is often presented as a guideline for distinguishing the true or real from mere appearances or artifacts. Most of recent discussions of robustness have focused on the kind of derivational robustness analysis introduced by Levins, while the related but distinct idea of robustness as multiple accessibility, defended by Wimsatt, has received less attention. In this paper, I argue that the latter kind of robustness, when properly understood, can provide justification for ontological commitments. The idea is that we are justified (...)
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  15. Corroborating Evidence‐Based Medicine.Alexander Mebius - 2014 - Journal of Evaluation in Clinical Practice 20 (6):915-920.
    Proponents of evidence-based medicine have argued convincingly for applying this scientific method to medicine. However, the current methodological framework of the EBM movement has recently been called into question, especially in epidemiology and the philosophy of science. The debate has focused on whether the methodology of randomized controlled trials provides the best evidence available. This paper attempts to shift the focus of the debate by arguing that clinical reasoning involves a patchwork of evidential approaches and that the emphasis on evidence (...)
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  16. Philosophie der Lebenswissenschaften.Susanne Bauer, Lara Huber, Marie I. Kaiser, Lara Keuck, Ulrich Krohs, Maria Kronfeldner, Peter McLaughlin, Kären Nickelson, Thomas Reydon, Neil Roughley, Christian Sachse, Marianne Schark, Georg Toepfer, Marcel Weber & Markus Wild - 2013 - Information Philosophie 4:14-27.
    This paper summarizes (in German) recent tendencies in the philosophy of the life sciences.
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  17. Common Method Variance & Bias dalam Penelitian Psikologis. Juneman - 2013 - Jurnal Pengukuran Psikologi Dan Pendidikan Indonesia 2 (5):364-381.
    The issue of common method variance and bias in Indonesia still has not gained much attention; even the terminology is less popular, except among psychometric enthusiasts and experts. In fact, the potential for common method variance and bias infiltrating in research results is very high, especially in studies that use a single method, a single source, and concurrent design, which are highly favored by psychological lecturers and researchers in Indonesia. This paper is a critical review, exposing the debate and serious (...)
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  18. What Exactly is Stabilized When Phenomena Are Stabilized?Uljana Feest - 2011 - Synthese 182 (1):57-71.
    The last two decades have seen a rising interest in (a) the notion of a scientific phenomenon as distinct from theories and data, and (b) the intricacies of experimentally producing and stabilizing phenomena. This paper develops an analysis of the stabilization of phenomena that integrates two aspects that have largely been treated separately in the literature: one concerns the skills required for empirical work; the other concerns the strategies by which claims about phenomena are validated. I argue that in order (...)
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  19. Robustness Across the Structure of Sub-Networks: The Contrast Between Infection and Information Dynamics.Patrick Grim, Christopher Reade, Daniel J. Singer, Stephen Fisher & Stephen Majewicz - 2010 - In Proceedings, AAAI FAll Symposium on Complex Adaptive Systems: Resilience, Robustness, and Evolvability.
    In this paper we make a simple theoretical point using a practical issue as an example. The simple theoretical point is that robustness is not 'all or nothing': in asking whether a system is robust one has to ask 'robust with respect to what property?' and 'robust over what set of changes in the system?' The practical issue used to illustrate the point is an examination of degrees of linkage between sub-networks and a pointed contrast in robustness and fragility between (...)
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  20. Confirmation and Robustness of Climate Models.Elisabeth A. Lloyd - 2010 - Philosophy of Science 77 (5):971–984.
    Recent philosophical attention to climate models has highlighted their weaknesses and uncertainties. Here I address the ways that models gain support through observational data. I review examples of model fit, variety of evidence, and independent support for aspects of the models, contrasting my analysis with that of other philosophers. I also investigate model robustness, which often emerges when comparing climate models simulating the same time period or set of conditions. Starting from Michael Weisberg’s analysis of robustness, I conclude that his (...)
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  21. Robustness, Discordance, and Relevance.Jacob Stegenga - 2009 - Philosophy of Science 76 (5):650-661.
    Robustness is a common platitude: hypotheses are better supported with evidence generated by multiple techniques that rely on different background assumptions. Robustness has been put to numerous epistemic tasks, including the demarcation of artifacts from real entities, countering the “experimenter’s regress,” and resolving evidential discordance. Despite the frequency of appeals to robustness, the notion itself has received scant critique. Arguments based on robustness can give incorrect conclusions. More worrying is that although robustness may be valuable in ideal evidential circumstances (i.e., (...)
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  22. A Graphic Measure for Game-Theoretic Robustness.Randy Au Patrick Grim, Robert Rosenberger Nancy Louie, Evan Selinger William Braynen & E. Eason Robb - 2008 - Synthese 163 (2):273-297.
    Robustness has long been recognized as an important parameter for evaluating game-theoretic results, but talk of ‘robustness’ generally remains vague. What we offer here is a graphic measure for a particular kind of robustness (‘matrix robustness’), using a three-dimensional display of the universe of 2 × 2 game theory. In such a measure specific games appear as specific volumes (Prisoner’s Dilemma, Stag Hunt, etc.), allowing a graphic image of the extent of particular game-theoretic effects in terms of those games. The (...)
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  23. Robust Evidence and Secure Evidence Claims.Kent W. Staley - 2004 - Philosophy of Science 71 (4):467-488.
    Many philosophers have claimed that evidence for a theory is better when multiple independent tests yield the same result, i.e., when experimental results are robust. Little has been said about the grounds on which such a claim rests, however. The present essay presents an analysis of the evidential value of robustness that rests on the fallibility of assumptions about the reliability of testing procedures and a distinction between the strength of evidence and the security of an evidence claim. Robustness can (...)
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  24. The Nature of the "Ultimate" Explanation in Physics.Abdus Salam - 1981 - In A. F. Heath (ed.), Scientific Explanation: Papers Based on Herbert Spencer Lectures Given in the University of Oxford. Clarendon Press.
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