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Epistemic advantage on the margin

A network standpoint Epistemology

Bibliographic Data

ID10348656
AuthorsJingyi Wu (0000-0002-3519-3952, Department of Logic and Philosophy of Science University of California Irvine California USA, corresponding author)
Year2022
Volume106
Issue3
Pages755-777
Publication date2022-06-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy and Phenomenological Research (JOURNAL)
Journal identifiersISSN: 0031-8205 • E-ISSN: 1933-1592
PublisherWiley (PUBLISHER • GB)
DOI10.1111/phpr.12895
OpenAlexW4282584177
LanguageEN
Citations received20
References cited36

I use network models to simulate social learning situations in which the dominant group ignores or devalues testimony from the marginalized group. I find that the marginalized group ends up with several epistemic advantages due to testimonial ignoration and devaluation. The results provide one possible explanation for a key claim of standpoint epistemology, the inversion thesis, by casting it as a consequence of another key claim of the theory, the unidirectional failure of testimonial reciprocity. Moreover, the results complicate the understanding and application of previously discovered network epistemology effects, notably the Zollman effect (Zollman, 2007, 2010)

Devaluation · Epistemology · Epistemology of Wikipedia · Formal epistemology · Key (lock · Linguistics · Machine learning · Margin (machine learning · Pedagogy · Reciprocity (cultural anthropology · Social epistemology · Social learning · Sociology · Testimonial · Computer Science · Opinion Dynamics and Social Influence · Philosophy · Psychology · Social Capital and Networks · Social Media and Politics · Social Psychology

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Unique citing works20
Citations per year5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 20

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