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Record W3153203865 · doi:10.1080/00948705.2021.1915149

Spilled milk and burned toast: extrinsic pressure and sporting excellence

2021· article· en· W3153203865 on OpenAlexaff
Christopher H. Johnson, Jason L. Taylor

Bibliographic record

VenueJournal of the Philosophy of Sport · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCONTESTExcellenceVictoryArgument (complex analysis)FlourishingPsychologyCompetition (biology)Thought experimentRelevance (law)Test (biology)Positive economicsEpistemologySocial psychologyPolitical scienceEconomicsLawPhilosophyMedicine

Abstract

fetched live from OpenAlex

This paper explores the dynamics of extrinsic pressure in sport and its relation to athletic excellence. We argue that psychological pressure exerted by activities extrinsic to sport can be relevant to success or failure in it, such that how one manages extrinsic pressures can transmit to failure to perform in sport and thus be a determinant to victory, with no reason to think failure mitigated by the non-sporting nature of one’s other behaviour. To make this argument we offer a series of examples to test intuitions about what constitutes sporting excellence and what constitutes sporting failure. On the basis of these examples, we offer a categorization of pressures in sport and argue that psychological pressure from almost any area of life may be relevant to competition, whether intrinsic or extrinsic to the sporting contest. We substantiate this claim by proposing a framework for adjudicating the relevance of extrinsic pressures to sporting performance by appealing to the internal goods of each sport and their contribution to flourishing.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.307

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 studies0.0000.000
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 head0.024
GPT teacher head0.279
Teacher spread0.255 · 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 designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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