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How can we assess whether to trust collectives of scientists?
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:University of Chicago Press
Authors: Elinor Clark;
Elinor Clark;
doi: 10.1086/729661
doi: 10.1086/729661
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2024 . Peer-reviewed
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The British Journal for the Philosophy of Science
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Fast Science
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:University of Chicago Press
Authors: Jacob Stegenga;
Jacob Stegenga;
doi: 10.1086/729617
doi: 10.1086/729617
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2024 . Peer-reviewed
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The Ambiguity Dilemma for Imprecise Bayesians
descriptionPublicationkeyboard_double_arrow_right Article 2024 Italy Publisher:University of Chicago Press
Authors: Radzvilas, Mantas; Peden, William; De Pretis, Francesco;
Radzvilas, Mantas; Peden, William; De Pretis, Francesco;
doi: 10.1086/729618
handle: 11380/1330366
doi: 10.1086/729618
handle: 11380/1330366
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio Emilia
Article . 2024 . Peer-reviewed
Data sources: Crossref; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio Emilia
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The British Journal for the Philosophy of Science; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio Emilia
Article . 2024 . Peer-reviewed
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Realism after Theory T Thinking
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: Lara Spencer;
Lara Spencer;
doi: 10.1086/729060
doi: 10.1086/729060
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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Effective Ontic Structural Realism
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: James Ladyman; Lorenzo Lorenzetti;
James Ladyman; Lorenzo Lorenzetti;
doi: 10.1086/729061
doi: 10.1086/729061
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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How to Teach General Relativity
descriptionPublicationkeyboard_double_arrow_right Article 2023 United Kingdom Publisher:University of Chicago Press
Authors: Hetzroni, G; Read, J;
Hetzroni, G; Read, J;
doi: 10.1086/729059
doi: 10.1086/729059
Oxford University Re...arrow_drop_down
Oxford University Research Archive
Article . 2023
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The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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Law-Abiding Causal Decision Theory
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: Timothy Luke Williamson; Alexander Sandgren;
Timothy Luke Williamson; Alexander Sandgren;
doi: 10.1086/715103
doi: 10.1086/715103
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article
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The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
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The British Journal for the Philosophy of Science
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Digital Literature Analysis for Empirical Philosophy of Science
descriptionPublicationkeyboard_double_arrow_right Article 2023 Belgium Publisher:University of Chicago Press
Authors: Lean, Oliver M.; Rivelli, Luca; Pence, Charles H.;
Lean, Oliver M.; Rivelli, Luca; Pence, Charles H.;
doi: 10.1086/715049
handle: 2078.1/284801
doi: 10.1086/715049
handle: 2078.1/284801
Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyse large volumes of scientific literature. Here we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of digital humanities tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of digital humanities tools requires critical reflection about these relationships.
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The British Journal for the Philosophy of Science
Article
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Dépôt Institutionel de l’Université catholique de Louvain et de l’Université Saint-Louis
Article . 2023
Data sources: Dépôt Institutionel de l’Université catholique de Louvain et de l’Université Saint-Louis
The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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Dépôt Institutionel de l’Université catholique de Louvain et de l’Université Saint-Louis
Article . 2023
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Un-debunking Ordinary Objects with the Help of Predictive Processing
descriptionPublicationkeyboard_double_arrow_right Article 2023 Poland Publisher:University of Chicago Press
Authors: Gładziejewski, Paweł;
Gładziejewski, Paweł;
doi: 10.1086/715105
doi: 10.1086/715105
Preprint artykułu, który ukaże się w czasopiśmie: British Journal for the Philosophy of Science (ISSN 0007-0882) w 2021 roku. Debunking arguments aim to undermine common sense beliefs by showing that they are not explanatorily or causally linked to the entities they are purportedly about. Rarely are facts about the etiology of common sense beliefs invoked for the opposite aim, that is, to support the reality of entities that furnish our manifest image of the world. Here I undertake this sort of un-debunking project. My focus is on the metaphysics of ordinary physical objects. I use the view of perception as approximate Bayesian inference to show how representations of ordinary objects can be extracted from sensory input in a rational and truth-tracking manner. Drawing an analogy between perception construed as Bayesian hypothesis testing and scientific inquiry, I sketch out how some of the intuitions that traditionally inspired arguments for scientific realism also find application with regards to proverbial tables and chairs.
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Article . 2021
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The British Journal for the Philosophy of Science
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Escaping the Fundamental Dichotomy of Scientific Realism
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: Shahin Kaveh;
Shahin Kaveh;
doi: 10.1086/715107
doi: 10.1086/715107
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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.

How can we assess whether to trust collectives of scientists?
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:University of Chicago Press
Authors: Elinor Clark;
Elinor Clark;
doi: 10.1086/729661
doi: 10.1086/729661
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2024 . Peer-reviewed
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Fast Science
descriptionPublicationkeyboard_double_arrow_right Article 2024Publisher:University of Chicago Press
Authors: Jacob Stegenga;
Jacob Stegenga;
doi: 10.1086/729617
doi: 10.1086/729617
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2024 . Peer-reviewed
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The Ambiguity Dilemma for Imprecise Bayesians
descriptionPublicationkeyboard_double_arrow_right Article 2024 Italy Publisher:University of Chicago Press
Authors: Radzvilas, Mantas; Peden, William; De Pretis, Francesco;
Radzvilas, Mantas; Peden, William; De Pretis, Francesco;
doi: 10.1086/729618
handle: 11380/1330366
doi: 10.1086/729618
handle: 11380/1330366
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio Emilia
Article . 2024 . Peer-reviewed
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The British Journal for the Philosophy of Science; IRIS UNIMORE - Archivio istituzionale della ricerca - Università di Modena e Reggio Emilia
Article . 2024 . Peer-reviewed
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Realism after Theory T Thinking
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: Lara Spencer;
Lara Spencer;
doi: 10.1086/729060
doi: 10.1086/729060
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The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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Effective Ontic Structural Realism
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: James Ladyman; Lorenzo Lorenzetti;
James Ladyman; Lorenzo Lorenzetti;
doi: 10.1086/729061
doi: 10.1086/729061
The British Journal ...arrow_drop_down
The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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How to Teach General Relativity
descriptionPublicationkeyboard_double_arrow_right Article 2023 United Kingdom Publisher:University of Chicago Press
Authors: Hetzroni, G; Read, J;
Hetzroni, G; Read, J;
doi: 10.1086/729059
doi: 10.1086/729059
Oxford University Re...arrow_drop_down
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Article . 2023
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The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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The British Journal for the Philosophy of Science
Article . 2023 . Peer-reviewed
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Law-Abiding Causal Decision Theory
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: Timothy Luke Williamson; Alexander Sandgren;
Timothy Luke Williamson; Alexander Sandgren;
doi: 10.1086/715103
doi: 10.1086/715103
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The British Journal for the Philosophy of Science
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Digital Literature Analysis for Empirical Philosophy of Science
descriptionPublicationkeyboard_double_arrow_right Article 2023 Belgium Publisher:University of Chicago Press
Authors: Lean, Oliver M.; Rivelli, Luca; Pence, Charles H.;
Lean, Oliver M.; Rivelli, Luca; Pence, Charles H.;
doi: 10.1086/715049
handle: 2078.1/284801
doi: 10.1086/715049
handle: 2078.1/284801
Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyse large volumes of scientific literature. Here we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of digital humanities tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of digital humanities tools requires critical reflection about these relationships.
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Dépôt Institutionel de l’Université catholique de Louvain et de l’Université Saint-Louis
Article . 2023
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The British Journal for the Philosophy of Science
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Dépôt Institutionel de l’Université catholique de Louvain et de l’Université Saint-Louis
Article . 2023
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The British Journal for the Philosophy of Science
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Un-debunking Ordinary Objects with the Help of Predictive Processing
descriptionPublicationkeyboard_double_arrow_right Article 2023 Poland Publisher:University of Chicago Press
Authors: Gładziejewski, Paweł;
Gładziejewski, Paweł;
doi: 10.1086/715105
doi: 10.1086/715105
Preprint artykułu, który ukaże się w czasopiśmie: British Journal for the Philosophy of Science (ISSN 0007-0882) w 2021 roku. Debunking arguments aim to undermine common sense beliefs by showing that they are not explanatorily or causally linked to the entities they are purportedly about. Rarely are facts about the etiology of common sense beliefs invoked for the opposite aim, that is, to support the reality of entities that furnish our manifest image of the world. Here I undertake this sort of un-debunking project. My focus is on the metaphysics of ordinary physical objects. I use the view of perception as approximate Bayesian inference to show how representations of ordinary objects can be extracted from sensory input in a rational and truth-tracking manner. Drawing an analogy between perception construed as Bayesian hypothesis testing and scientific inquiry, I sketch out how some of the intuitions that traditionally inspired arguments for scientific realism also find application with regards to proverbial tables and chairs.
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Repository of Nicolaus Copernicus University
Article . 2021
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Escaping the Fundamental Dichotomy of Scientific Realism
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:University of Chicago Press
Authors: Shahin Kaveh;
Shahin Kaveh;
doi: 10.1086/715107
doi: 10.1086/715107
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