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  1. The epistemology of a spectrometer.Daniel Rothbart & Suzanne W. Slayden - 1994 - Philosophy of Science 61 (1):25-38.
    Contrary to the assumptions of empiricist philosophies of science, the theory-laden character of data will not imply the inherent failure (subjectivity, circularity, or rationalization) of instruments to expose nature's secrets. The success of instruments is credited to scientists' capacity to create artificial technological analogs to familiar physical systems. The design of absorption spectrometers illustrates the point: Progress in designing many modern instruments is generated by analogically projecting theoretical insights from known physical systems to unknown terrain. An experimental realism is defended.
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  • Data, phenomena, and representation regarding the empiricist structuralism of B. Van Fraassen.José Luis Rolleri - 2015 - Ideas Y Valores 64 (157):137-149.
    Se analizan ciertos conceptos del estructuralismo empirista de Bas van Fraassen, en particular, el de representación, para intentar una crítica a su posición con respecto al vínculo entre los modelos de las teorías y, en última instancia, el mundo físico por medio de los modelos de datos, a los cuales van Fraassen les adjudica el papel de representantes de los fenómenos. Al final se delinea, a muy grandes rasgos, una alternativa conceptualista. The article analyzes certain concepts of the empiricist structuralism (...)
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  • Datos, fenómenos y representación: sobre el estructuralismo empirista de van Fraassen.José Luis Rolleri - 2015 - Ideas Y Valores 64 (157):137-149.
    En este escrito se analizan ciertos conceptos del estructuralismo empirista de Bas van Fraassen, en particular, el de representación, para intentar una crítica a su posición con respecto al vínculo entre los modelos de las teorías y, en última instancia, el mundo físico por medio de los modelos de datos, a los cuales van Fraassen les adjudica el papel de representantes de los fenómenos. Al final se delinea, a muy grandes rasgos, una alternativa conceptualista.
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  • Data Fabrication and Falsification and Empiricist Philosophy of Science.David B. Resnik - 2014 - Science and Engineering Ethics 20 (2):423-431.
    Scientists have rules pertaining to data fabrication and falsification that are enforced with significant punishments, such as loss of funding, termination of employment, or imprisonment. These rules pertain to data that describe observable and unobservable entities. In this commentary I argue that scientists would not adopt rules that impose harsh penalties on researchers for data fabrication or falsification unless they believed that an aim of scientific research is to develop true theories and hypotheses about entities that exist, including unobservable ones. (...)
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  • Allometries and scaling laws interpreted as laws: a reply to Elgin.Jani Raerinne - 2011 - Biology and Philosophy 26 (1):99-111.
    I analyze here biological regression equations known in the literature as allometries and scaling laws. My focus is on the alleged lawlike status of these equations. In particular I argue against recent views that regard allometries and scaling laws as representing universal, non-continent, and/or strict biological laws. Although allometries and scaling laws appear to be generalizations applying to many taxa, they are neither universal nor exceptionless. In fact there appear to be exceptions to all of them. Nor are the constants (...)
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  • Science, realization and reality: The fundamental issues.Hans Radder - 1993 - Studies in History and Philosophy of Science Part A 24 (3):327-349.
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  • E-Synthesis: A Bayesian Framework for Causal Assessment in Pharmacosurveillance.Francesco De Pretis, Jürgen Landes & Barbara Osimani - 2019 - Frontiers in Pharmacology 10.
    Background: Evidence suggesting adverse drug reactions often emerges unsystematically and unpredictably in form of anecdotal reports, case series and survey data. Safety trials and observational studies also provide crucial information regarding the (un-)safety of drugs. Hence, integrating multiple types of pharmacovigilance evidence is key to minimising the risks of harm. Methods: In previous work, we began the development of a Bayesian framework for aggregating multiple types of evidence to assess the probability of a putative causal link between drugs and side (...)
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  • Stabilization of phenomenon and meaning: On the London & London episode as a historical case in philosophy of science.Jan Potters - 2019 - European Journal for Philosophy of Science 9 (2):23.
    In recent years, the use of historical cases in philosophy of science has become a proper topic of reflection. In this article I will contribute to this research by means of a discussion of one very famous example of case-based philosophy of science, namely the debate on the London & London model of superconductivity between Cartwright, Suárez and Shomar on the one hand, and French, Ladyman, Bueno and Da Costa on the other. This debate has been going on for years, (...)
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  • Humanistic interpretation and machine learning.Juho Pääkkönen & Petri Ylikoski - 2021 - Synthese 199:1461–1497.
    This paper investigates how unsupervised machine learning methods might make hermeneutic interpretive text analysis more objective in the social sciences. Through a close examination of the uses of topic modeling—a popular unsupervised approach in the social sciences—it argues that the primary way in which unsupervised learning supports interpretation is by allowing interpreters to discover unanticipated information in larger and more diverse corpora and by improving the transparency of the interpretive process. This view highlights that unsupervised modeling does not eliminate the (...)
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  • The derivation of Poiseuille’s law: heuristic and explanatory considerations.Christopher Pincock - 2021 - Synthese 199 (3-4):11667-11687.
    This paper illustrates how an experimental discovery can prompt the search for a theoretical explanation and also how obtaining such an explanation can provide heuristic benefits for further experimental discoveries. The case considered begins with the discovery of Poiseuille’s law for steady fluid flow through pipes. The law was originally supported by careful experiments, and was only later explained through a derivation from the more basic Navier–Stokes equations. However, this derivation employed a controversial boundary condition and also relied on a (...)
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  • Datos, fenómenos y teorías.Germán Guerrero Pino - 2012 - Estudios de Filosofía (Universidad de Antioquia) 45:9-32.
    El presente escrito se propone presentar el modelo de tres niveles del conocimiento científico (datos, fenómenos y teorías) desde los recientes resultados de la filosofía de la ciencia obtenidos por dos perspectivas filosóficas particulares: el nuevo experimentalismo y el enfoque semántico de las teorías. Para ello contrasta los planteamientos principales de estas dos perspectivas con el modelo de dos niveles del conocimiento científico (observación y teoría) del positivismo lógico, que dominó el panorama de la filosofía de la ciencia en las (...)
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  • Concrete Scale Models, Essential Idealization, and Causal Explanation.Christopher Pincock - 2022 - British Journal for the Philosophy of Science 73 (2):299-323.
    This paper defends three claims about concrete or physical models: these models remain important in science and engineering, they are often essentially idealized, in a sense to be made precise, and despite these essential idealizations, some of these models may be reliably used for the purpose of causal explanation. This discussion of concrete models is pursued using a detailed case study of some recent models of landslide generated impulse waves. Practitioners show a clear awareness of the idealized character of these (...)
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  • Scientific Realism and Blocking Strategies.Raimund Pils - 2022 - International Studies in the Philosophy of Science 36 (1):1-17.
    My target is the epistemological dimension of the realism debate. After establishing a stance voluntarist framework with a Jamesian background, drawing mostly on Wylie, Chakravarty, and van Fraassen, I argue that current voluntarists are too permissive. I show that especially various anti-realist stances but also some realist and selective realist stances block themselves from refutation by the history of science. I argue that such stances should be rejected. Finally, I propose that any disagreement that cannot be resolved by this strategy (...)
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  • Think of the children.Paul M. Pietroski - 2008 - Australasian Journal of Philosophy 86 (4):657 – 669.
    Often, the deepest disagreements are about starting points, and which considerations are relevant.
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  • Observation, Experiment, and Scientific Practice.Slobodan Perović - 2021 - International Studies in the Philosophy of Science 34 (1):1-20.
    Ian Hacking has argued that the notions of experiment and observation are distinct, not even the opposite ends of a continuum. More recently, other authors have emphasised their continuity, saying...
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  • Image Interpretation: Bridging the Gap from Mechanically Produced Image to Representation.Laura Perini - 2012 - International Studies in the Philosophy of Science 26 (2):153-170.
    There is currently a gap in our understanding of how figures produced by mechanical imaging techniques play evidential roles: several studies based on close examination of scientific practice show that imaging techniques do not yield data whose significance can simply be read off the image. If image-making technology is not a simple matter of nature re-presenting itself to us in a legible way, just how do the images produced provide support for scientific claims? In this article I will first show (...)
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  • Semblance or similarity? Reflections on Simulation and Similarity: Michael Weisberg: Simulation and similarity: using models to understand the world. Oxford University Press, 2013. 224pp. ISBN 9780199933662, $65.00.Jay Odenbaugh - 2015 - Biology and Philosophy 30 (2):277-291.
    In this essay, I critically evaluate components of Michael Weisberg’s approach to models and modeling in his book Simulation and Similarity. First, I criticize his account of the ontology of models and mathematics. Second, I respond to his objections to fictionalism regarding models arguing that they fail. Third, I sketch a deflationary approach to models that retains many elements of his account but avoids the inflationary commitments.
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  • Epistemic Challenges: Engaging Philosophically in Cognitive Science.Przemysław R. Nowakowski - 2019 - Ruch Filozoficzny 75 (2):237.
    In this article, I show the role that the philosopher of cognitive science can cur-rently play in cognitive science research. I argue for the important, and not yet considered, role of the philosophy of cognitive science in cognitive science, that is, the importance of cooperation between philosophers of science with cogni-tive scientists in investigating the research methods and theoretical assump-tions of cognitive science. At the beginning of the paper I point out, how the philosopher of science, here, the philosopher of (...)
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  • On the pragmatic equivalence between representing data and phenomena.James Nguyen - 2016 - Philosophy of Science 83 (2):171- 191.
    Van Fraassen argues that data provide the target-end structures required by structuralist accounts of scientific representation. But models represent phenomena not data. Van Fraassen agrees but argues that there is no pragmatic difference between taking a scientific model to accurately represent a physical system and accurately represent data extracted from it. In this article I reconstruct his argument and show that it turns on the false premise that the pragmatic content of acts of representation include doxastic commitments.
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter Machamer & Michael Silberstein (eds.), The Blackwell Guide to the Philosophy of Science. Oxford, UK: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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  • Can the Integrated Information Theory Explain Consciousness from Consciousness Itself?Niccolò Negro - 2023 - Review of Philosophy and Psychology 14 (4):1471-1489.
    In consciousness science, theories often differ not only in the account of consciousness they arrive at, but also with respect to how they understand their starting point. Some approaches begin with experimentally gathered data, whereas others begin with phenomenologically gathered data. In this paper, I analyse how the most influential phenomenology-first approach, namely the Integrated Information Theory (IIT) of consciousness, fits its phenomenologically gathered data with explanatory hypotheses. First, I show that experimentally driven approaches hit an explanatory roadblock, since we (...)
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  • Duhem and Cartwright on the truth of laws.Paul Needham - 1991 - Synthese 89 (1):89 - 109.
    Nancy Cartwright has drawn attention to how explanations are actually given in mathematical sciences. She argues that these procedures support an antirealist thesis that fundamental explanatory laws are not true. Moreover, she claims to be be essentially following Duhem's line of thought in developing this thesis. Without wishing to detract from the importance of her observations, it is suggested that they do not necessarily require the antirealist thesis. The antirealist interpretation of Duhem is also disputed. It is argued that Duhemian (...)
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  • Epistemologie dat v současné vědě.Jindřich Mynarz - 2013 - E-Logos 20 (1):1-17.
    Dominantn pozitivistick epistemologie dat v souasn vd, kter stav na metafyzickm realismu a idelu mechanick objektivity, trp adou trhlin. Tyto nedostatky byly identifikovny v mnohch kritickch ohlasech, kter vedou k nov problematizaci ustlenho konceptu dat. Mezi kritizovanmi aspekty tohoto konceptu se opakuj varovn ohledn zasazenosti dat do kontextu jejich tvorby, jejich zprostedkovanost nebo otevenost manipulacm. Funkce dat v poslednch letech nabv na dleitosti kvli stoupajc datov nronosti vdy, a proto je dve neproblematickmu konceptu dat vnovno vce pozornosti. Objevuj se tak (...)
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  • Searching for Signatures.Peter Mättig & Michael Stöltzner - 2020 - Philosophy of Science 87 (5):1246-1256.
    Since the discovery of the Higgs boson in 2012, particle physicists have not found any statistically significant deviations from the Standard Model. This has led to a shift of emphasis from model t...
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  • Classifying exploratory experimentation – three case studies of exploratory experimentation at the LHC.Peter Mättig - 2022 - European Journal for Philosophy of Science 12 (4):1-34.
    Along three measurements at the Large Hadron Collider (LHC), a high energy particle accelerator, we analyze procedures and consequences of exploratory experimentation (EE). While all of these measurements fulfill the requirements of EE: probing new parameter spaces, being void of a target theory and applying a broad range of experimental methods, we identify epistemic differences and suggest a classification of EE. We distinguish classes of EE according to their respective goals: the exploration where an established global theory cannot provide the (...)
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  • Saving epistemology from the epistemologists: recent work in the theory of knowledge.Adam Morton - 2000 - British Journal for the Philosophy of Science 51 (4):685-704.
    This is a very selective survey of developments in epistemology, concentrating on work from the past twenty years that is of interest to philosophers of science. The selection is organized around interesting connections between distinct themes. I first connect issues about skepticism to issues about the reliability of belief-acquiring processes. Next I connect discussions of the defeasibility of reasons for belief to accounts of the theory-independence of evidence. Then I connect doubts about Bayesian epistemology to issues about the content of (...)
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  • Mathematical models: Questions of trustworthiness.Adam Morton - 1993 - British Journal for the Philosophy of Science 44 (4):659-674.
    I argue that the contrast between models and theories is important for public policy issues. I focus especially on the way a mathematical model explains just one aspect of the data.
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  • Branching in the landscape of possibilities.Thomas Müller - 2012 - Synthese 188 (1):41-65.
    The metaphor of a branching tree of future possibilities has a number of important philosophical and logical uses. In this paper we trace this metaphor through some of its uses and argue that the metaphor works the same way in physics as in philosophy. We then give an overview of formal systems for branching possibilities, viz., branching time and (briefly) branching space-times. In a next step we describe a number of different notions of possibility, thereby sketching a landscape of possibilities. (...)
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  • After Fifty Years, Why Are Protein X-ray Crystallographers Still in Business?Sandra D. Mitchell & Angela M. Gronenborn - 2015 - British Journal for the Philosophy of Science:axv051.
    It has long been held that the structure of a protein is determined solely by the interactions of the atoms in the sequence of amino acids of which it is composed, and thus the stable, biologically functional conformation should be predictable by ab initio or de novo methods. However, except for small proteins, ab initio predictions have not been successful. We explain why this is the case and argue that the relationship among the different methods, models, and representations of protein (...)
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  • The Hunting of the SNaRC: A Snarky Solution to the Species Problem.Brent D. Mishler & John S. Wilkins - 2018 - Philosophy, Theory, and Practice in Biology 10 (1).
    We argue that the logical outcome of the cladistics revolution in biological systematics, and the move towards rankless phylogenetic classification of nested monophyletic groups as formalized in the PhyloCode, is to eliminate the species rank along with all the others and simply name clades. We propose that the lowest level of formally named clade be the SNaRC, the Smallest Named and Registered Clade. The SNaRC is an epistemic level in the classification, not an ontic one. Naming stops at that level (...)
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  • Explanatory completeness and idealization in large brain simulations: a mechanistic perspective.Marcin Miłkowski - 2016 - Synthese 193 (5):1457-1478.
    The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...)
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  • From Wide Cognition to Mechanisms: A Silent Revolution.Marcin Miłkowski, Robert Clowes, Zuzanna Rucińska, Aleksandra Przegalińska, Tadeusz Zawidzki, Joel Krueger, Adam Gies, Marek McGann, Łukasz Afeltowicz, Witold Wachowski, Fredrik Stjernberg, Victor Loughlin & Mateusz Hohol - 2018 - Frontiers in Psychology 9.
    In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...)
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  • To stylize or not to stylize, is it a fact then? Clarifying the role of stylized facts in empirical model evaluation.Stefan Mendritzki - 2014 - Journal of Economic Methodology 21 (2):107-124.
    Though the concept of ‘stylized fact’ plays an important role in the economic literature, there is little analysis of the definition and evaluative use of the term. A permissive account of stylized facts is developed which focuses on their mediating role between models and empirical evidence. The mediation relationship restricts stylized facts by requiring concrete empirical targets. On the other hand, there is much legitimate diversity within the permissive account; key dimensions of diversity are argued to be the part of (...)
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  • Revisiting metaphilosophical naturalism and naturalized transcendentalism: response to Kaidesoja.Dustin McWherter - 2017 - Journal of Critical Realism 16 (5):514-532.
    In this article, I assess Tuukka Kaidesoja’s response to my objections to his critique of transcendental arguments and respond to his criticisms of my work. I argue that his new attempt to link transcendental arguments to Kant’s transcendental idealism is just as question-begging as his previous attempt, that his problematization of Bhaskar’s use of Kantian terminology is premised upon a confusion, and that his elaboration of explanatory necessity still fails to clearly distinguish it from transcendental necessity. I also elaborate and (...)
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  • Is Knowledge a Social Phenomenon?Robin McKenna - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    In this paper, I offer some reasons for thinking that knowledge is a social phenomenon. My argument is based on Helen Longino’s work on scientific knowledge, in particular her 2002 book The Fate of Knowledge. Longino’s basic idea is that a scientific hypothesis or theory is justified when it emerges (relatively) unscathed from social interactions between scientists. If we accept – as Longino and many others do – that knowledge requires justification, it follows that scientific knowledge is a social phenomenon. (...)
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  • Kant’s Emergence and Sellarsian Cognitive Science.Richard McDonough - 2014 - Open Journal of Philosophy 4 (1):44-53.
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  • What do patterns in empirical data tell us about the structure of the world?James W. McAllister - 2011 - Synthese 182 (1):73-87.
    This article discusses the relation between features of empirical data and structures in the world. I defend the following claims. Any empirical data set exhibits all possible patterns, each with a certain noise term. The magnitude and other properties of this noise term are irrelevant to the evidential status of a pattern: all patterns exhibited in empirical data constitute evidence of structures in the world. Furthermore, distinct patterns constitute evidence of distinct structures in the world. It follows that the world (...)
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  • The Ontology of Patterns in Empirical Data.James W. McAllister - 2010 - Philosophy of Science 77 (5):804-814.
    This article defends the following claims. First, for patterns exhibited in empirical data, there is no criterion on which to demarcate patterns that are physically significant and patterns that are not physically significant. I call a pattern physically significant if it corresponds to a structure in the world. Second, all patterns must be regarded as physically significant. Third, distinct patterns must be regarded as providing evidence for distinct structures in the world. Fourth, in consequence, the world must be conceived as (...)
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  • Thought experiments and the belief in phenomena.James W. McAllister - 2004 - Philosophy of Science 71 (5):1164-1175.
    Thought experiment acquires evidential significance only on particular metaphysical assumptions. These include the thesis that science aims at uncovering "phenomena"universal and stable modes in which the world is articulatedand the thesis that phenomena are revealed imperfectly in actual occurrences. Only on these Platonically inspired assumptions does it make sense to bypass experience of actual occurrences and perform thought experiments. These assumptions are taken to hold in classical physics and other disciplines, but not in sciences that emphasize variety and contingency, such (...)
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  • Phenomena and patterns in data sets.James W. McAllister - 1997 - Erkenntnis 47 (2):217-228.
    Bogen and Woodward claim that the function of scientific theories is to account for 'phenomena', which they describe both as investigator-independent constituents of the world and as corresponding to patterns in data sets. I argue that, if phenomena are considered to correspond to patterns in data, it is inadmissible to regard them as investigator-independent entities. Bogen and Woodward's account of phenomena is thus incoherent. I offer an alternative account, according to which phenomena are investigator-relative entities. All the infinitely many patterns (...)
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  • Model selection and the multiplicity of patterns in empirical data.James W. McAllister - 2007 - Philosophy of Science 74 (5):884-894.
    Several quantitative techniques for choosing among data models are available. Among these are techniques based on algorithmic information theory, minimum description length theory, and the Akaike information criterion. All these techniques are designed to identify a single model of a data set as being the closest to the truth. I argue, using examples, that many data sets in science show multiple patterns, providing evidence for multiple phenomena. For any such data set, there is more than one data model that must (...)
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  • Climate Science Controversies and the Demand for Access to Empirical Data.James W. McAllister - 2012 - Philosophy of Science 79 (5):871-880.
    In this article, I discuss calls for access to empirical data within controversies about climate science, as revealed and highlighted by the publication of the e-mail correspondence involving scientists at the Climatic Research Unit at the University of East Anglia in 2009. I identify several arguments advanced for and against the sharing of scientific data. My conclusions are that, whereas transparency in science is to be valued, appeals to an unproblematic category of ‘empirical data’ in climate science do not reflect (...)
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  • Algorithmic randomness in empirical data.James W. McAllister - 2003 - Studies in History and Philosophy of Science Part A 34 (3):633-646.
    According to a traditional view, scientific laws and theories constitute algorithmic compressions of empirical data sets collected from observations and measurements. This article defends the thesis that, to the contrary, empirical data sets are algorithmically incompressible. The reason is that individual data points are determined partly by perturbations, or causal factors that cannot be reduced to any pattern. If empirical data sets are incompressible, then they exhibit maximal algorithmic complexity, maximal entropy and zero redundancy. They are therefore maximally efficient carriers (...)
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  • Linguistic Intuitions.Jeffrey Maynes & Steven Gross - 2013 - Philosophy Compass 8 (8):714-730.
    Linguists often advert to what are sometimes called linguistic intuitions. These intuitions and the uses to which they are put give rise to a variety of philosophically interesting questions: What are linguistic intuitions – for example, what kind of attitude or mental state is involved? Why do they have evidential force and how might this force be underwritten by their causal etiology? What light might their causal etiology shed on questions of cognitive architecture – for example, as a case study (...)
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  • Linguistic intuition and calibration.Jeffrey Maynes - 2012 - Linguistics and Philosophy 35 (5):443-460.
    Linguists, particularly in the generative tradition, commonly rely upon intuitions about sentences as a key source of evidence for their theories. While widespread, this methodology has also been controversial. In this paper, I develop a positive account of linguistic intuition, and defend its role in linguistic inquiry. Intuitions qualify as evidence as form of linguistic behavior, which, since it is partially caused by linguistic competence (the object of investigation), can be used to study this competence. I defend this view by (...)
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  • Interpreting intuition: Experimental philosophy of language.Jeffrey Maynes - 2015 - Philosophical Psychology 28 (2):260-278.
    The role of intuition in Kripke's arguments for the causal-historical theory of reference has been a topic of recent debate, particularly in light of empirical work on these intuitions. In this paper, I develop three interpretations of the role intuition might play in Kripke's arguments. The first aim of this exercise is to help clarify the options available to interpreters of Kripke, and the consequences for the experimental investigation of Kripkean intuitions. The second aim is to show that understanding the (...)
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  • Empirical techniques and the accuracy of scientific representations.Dana Matthiessen - 2022 - Studies in History and Philosophy of Science Part A 94 (C):143-157.
    This paper proposes an account of accurate scientific representation in terms of techniques that produce data from a target phenomenon. I consider an approach to accurate representation that abstracts from such epistemic factors, justified by a thesis I call Ontic Priority. This holds that criteria for representational accuracy depend on a pre-established account of the nature of the relation between a model and its target phenomenon. I challenge Ontic Priority, drawing on the observation that many working scientists do not have (...)
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  • Embodied Music Cognition: Trouble Ahead, Trouble Behind.Jakub R. Matyja - 2016 - Frontiers in Psychology 7.
    The aim of this thesis is to argue in favour of the embodied music cognition paradigm, as opposed to traditional theories of musical mind. The thesis consists of three chapters. The goal of the first chapter is to examine computational music cognition, focusing on the main problem of this approach. In the second chapter, I will present and discuss Marc Leman’s EMC, that may serve as a response to the problems of the computational view of the musical mind. Although this (...)
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  • A new concept of replication.Vera Matarese - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    The replication crisis has spawned discussions on the meaning of replication. In fact, in order to determine whether an experiment fails to replicate, it is necessary to establish what replication is. This is, however, a difficult task, as it is possible to attribute different meanings to it. This paper offers a solution to this problem of ambiguity by engineering a concept of replication that, if compared to other proposals, stands out for being not only broadly applicable but also sufficiently specific. (...)
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  • The interplay between models and observations.Claudio Masolo, Alessander Botti Benevides & Daniele Porello - 2018 - Applied ontology 13 (1):41-71.
    We propose a formal framework to examine the relationship between models and observations. To make our analysis precise,models are reduced to first-order theories that represent both terminological knowledge – e.g., the laws that are supposed to regulate the domain under analysis and that allow for explanations, predictions, and simulations – and assertional knowledge – e.g., information about specific entities in the domain of interest. Observations are introduced into the domain of quantification of a distinct first-order theory that describes their nature (...)
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