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Record W4378234657 · doi:10.1080/21520704.2023.2207481

Starting a Conversation about Vulnerability in Elite Sport

2023· article· en· W4378234657 on OpenAlexaff
Karin Hägglund, Christopher R. D. Wagstaff, Göran Kenttä, Richard Thelwell

Bibliographic record

VenueJournal of Sport Psychology in Action · 2023
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
FundersVetenskapsrådetCentrum för idrottsforskningLeeds Beckett University
KeywordsElitePsychologyConversationVulnerability (computing)Elite athletesNarrativeSport psychologyDominance (genetics)Social psychologyPublic relationsAthletesPolitical scienceCommunicationPoliticsLinguistics

Abstract

fetched live from OpenAlex

Psychological strengths are idealized in elite sport and contribute to the presence of stigma surrounding mental health issues and a high threshold for help-seeking behavior. Recently, scholars have argued that the concept of vulnerability has the potential to challenge the dominance of the performance narrative in sport. In this article, we provide practitioners with innovative poem and word cloud resources based on insights from high-performance coaches to enable conversations about vulnerability in sport. We hope practitioners will use these resources to stimulate reflection and dialogue about vulnerability, which may lower thresholds for help-seeking and foster sustainability in sport organizations.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.426
Teacher spread0.361 · 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 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

Citations13
Published2023
Admission routes1
Has abstractyes

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