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Record W4412465836 · doi:10.1080/00948705.2025.2521281

J.S. Russell and the democratization of perfectionism

2025· article· en· W4412465836 on OpenAlexaff
Christopher C. Yorke

Bibliographic record

VenueJournal of the Philosophy of Sport · 2025
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsLangara College
Fundersnot available
KeywordsDemocratizationPerfectionism (psychology)Sociology of sportPsychologySociologyPsychoanalysisPolitical scienceSocial scienceDemocracySocial psychologyPoliticsLaw

Abstract

fetched live from OpenAlex

A key element of J.S. Russell’s intellectual oeuvre is his concern with perfectionism, the philosophical position which holds that the expression of uniquely human capacities is the source of moral value. One of the main axes of criticism of perfectionism is its inherent elitism: not all humans are equally efficacious or efficient capacity catalyzers, and thus on perfectionist grounds it makes sense to identify those who are unable to express a large range or depth of capacities as less valuable (in this specific sense of value) than those who are not. I take one of the main themes of Russell’s philosophical output to be a gentle and steady movement toward redressing perfectionist’s elitist bent through broadening what we count as virtues, and thereby democratizing the perfectionist position by making it more inclusive and accessible. I trace this development of Russell’s interest from his valorization of self-actualization through partaking in dangerous sport (accessible to very few of us), to his valorization of striving through gameplay and sport (accessible to the majority of us), and finally to his valorization of idleness (accessible to almost everyone). I assess whether Russell’s overall project succeeds in its apparent aim to rehabilitate perfectionism upon democratic lines.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.620
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.292
Teacher spread0.282 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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