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Record W4385763578 · doi:10.1353/rss.2023.a904085

Russell’s Representationalism about Consciousness: Reconsidering His Relationship to James

2023· article· en· W4385763578 on OpenAlexvenueno aff
Alexander Klein

Bibliographic record

VenueRussell the Journal of Bertrand Russell Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Science, and History
Canadian institutionsnot available
Fundersnot available
KeywordsDirect and indirect realismConsciousnessEpistemologyPhilosophyPragmatismRepresentation (politics)Antecedent (behavioral psychology)MonismVirtueAnalytic philosophyPsychologyRealismContemporary philosophySocial psychologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract: While Russell famously rejected the pragmatist theory of truth, recent scholarship portrays his post-prison accounts of belief and knowledge as resembling James’s. But deeper divisions in fact persisted between Russell and James concerning the nature of mind. I argue 1) that Russell’s neutral monist approach to consciousness in The Analysis of Mind constitutes an early form of representationalism in that he took states to be phenomenally conscious partly in virtue of (truly) representing an antecedent (typically just-passed) sensation; 2) that although James also saw representation (typically of expected kinaesthetic sensation) as a crucial component of consciousness, he contended that representation is a matter of affording future-directed action control that aligns with the agent’s interests; and 3) that what divides these contrasting approaches to consciousness and representation is precisely what Russell would continue to reject in the pragmatist theory of truth, namely the productive role James assigned to an agent’s interests.

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)0.007
metaresearch head score (Gemma)0.009
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 score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.053
Scholarly communication0.0090.011
Open science0.0010.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.108
GPT teacher head0.298
Teacher spread0.190 · 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

Citations16
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRussell the Journal of Bertrand Russell StudiesSame topicPhilosophy, Science, and HistoryFrench-language works237,207