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Record W4412361695 · doi:10.1353/rss.2025.a965206

"The Arbitrament of the Big Battalions": Russell's Argument Linking James's Account of Truth to Authoritarian Violence

2025· article· en· W4412361695 on OpenAlexvenueno aff
Robert P. Lane

Bibliographic record

VenueRussell the Journal of Bertrand Russell Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicWar, Ethics, and Justification
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)AuthoritarianismPhilosophyEpistemologyPsychoanalysisPsychologyPolitical scienceLawDemocracyMedicinePolitics

Abstract

fetched live from OpenAlex

Abstract: Bertrand Russell argued that William James's pragmatic account of truth implies that truth is not objective and that James's abandonment of objective truth makes it inevitable that violence will be used to settle disagreements, including political disagreements. On my view, there is an inconsistency in James's account of truth that yields two different readings of that account, one on which the truth of the belief that p does require, and another on which it does not require, that it actually be the case that p . I argue that Russell's criticism of James fails if it is directed against the first reading of James's account of truth, because on that first reading, there is such a thing as objective truth. However, Russell's criticism fairs better against the second reading of James's account—that is, it fairs better once its conclusion is weakened, from the claim that James's account makes it inevitable that violence will result from disagreements, to the claim that when violence is in fact used to end a disagreement and succeeds in doing so, the victor is the one who has the true belief.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.046
GPT teacher head0.290
Teacher spread0.243 · 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 teacher head, not a consensus.

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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