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Record W3185498419 · doi:10.29173/mm10

Acting Accordingly or Authentically:

2021· article· en· W3185498419 on OpenAlexaffvenue
Lydia Sokol

Bibliographic record

VenueMovement Matters · 2021
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAthletesSport psychologyPsychologyVariety (cybernetics)Affect (linguistics)Gold medalApplied psychologyMedalSocial psychologyPublic relationsSociologyPolitical scienceArtComputer scienceMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate how holistic sport psychology consultants can begin to think with concepts from sport sociology to enhance the provision of their services to athletes. More specifically, this study explored the ways in which various dominant practices within sport can affect holistic sport psychologists’ efforts to help athletes act authentically. Empirical material included observations of athletes and coaches, who were all part of the Gold Medal Soccer Academy, along with a series of interviews with four athletes. The results indicated the importance of holistic sport psychology consultants taking into consideration a variety of social influences that can limit and restrict athletes’ opportunities to develop their authentic selves through their sport participation.

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)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.017
Scholarly communication0.0100.007
Open science0.0010.010
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0060.003

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 head0.037
GPT teacher head0.341
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes2
Has abstractyes

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