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Record W2809304055 · doi:10.1111/theo.12150

Disagreement and Conceptual Understanding

2018· article· en· W2809304055 on OpenAlexaff
Gurpreet Rattan

Bibliographic record

VenueTheoria · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEpistemology, Ethics, and Metaphysics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEpistemologySociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Does the epistemology of disagreement have significant consequences for theories of conceptual understanding? I argue that it does. I argue that the epistemology of disagreement manifests the existence of a special kind of concept,perspectival modes of metarepresentation, a kind of concept instances of which figure in the thinking about thoughts that occurs indeep disagreement. These perspectival modes of metarepresentation arede remodes of presentation of thoughts themselves – hencede remodes ofmetarepresentation– in which one and the same thought is presented to higher‐order thinking about thoughts in different ways. These modes or ways arede reand perspectival because they are individuated by facts about whether the thought being thought about is thegraspedorunderstoodpropositional object ofone's ownoranother'sthinking. I outline a broadly Fregean framework for theorizing conceptual understanding and draw out three significant consequences of the existence of perspectival modes of metarepresentation for theories of conceptual understanding: they (1) constitute a new philosophical motivation for a restricted fragment of what Terence Parsons calls a “libertine” hierarchy of Fregean sense; (2) provide, against David Chalmers, examples ofa prioriequivalences that are nevertheless cognitively significant; and (3) constitute a novel and pervasive example of Kripkean ‘Paderewski’‐type designators.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0070.074
Scholarly communication0.0130.032
Open science0.0030.012
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.177
GPT teacher head0.291
Teacher spread0.114 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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