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Record W4285161062 · doi:10.1123/ssj.2021-0044

The Myth of Load Management: Sleep and Recovery in the Women’s National Basketball Association

2022· article· en· W4285161062 on OpenAlexaff
Sarah Barnes

Bibliographic record

VenueSociology of Sport Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsCape Breton University
Fundersnot available
KeywordsBasketballSleep (system call)StorytellingAssociation (psychology)MythologyPsychologyVariety (cybernetics)SociologyGender studiesApplied psychologyNarrativeHistoryArtPsychotherapistLiterature

Abstract

fetched live from OpenAlex

This article uses a feminist cultural studies of sport framework to explore dominant storytelling about sleep in the Women’s National Basketball Association. In a historical moment when rest is understood as a vital component in athlete performance, being denied full access to the conditions and resources that are imagined to be conducive to sleep is problematic. However, the Women’s National Basketball Association’s embrace of a commercial, technoscientific promotional sleep culture often comes at the expense of understanding the impact of structural forces on recovery. By exploring a variety of stories about sleep and performance, it is possible to understand the limitations and possibilities of using sleep enhancement frameworks to foster healthier and more humane sport settings and societies.

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)0.005
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 score0.153
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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)0.0010.000

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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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