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Record W4386775909 · doi:10.53379/cjcd.2023.359

Planning Life Outside of Sport: Elite Aathletes’ Help-seeking Behaviours Toward Career Support Resources

2023· article· en· W4386775909 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Career Development · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsElitePsychologyAthletesEmotional supportCareer planningElite athletesHelp-seekingSocial supportApplied psychologySocial psychologyMedicinePolitical scienceMental healthPhysical therapyPedagogy

Abstract

fetched live from OpenAlex

Despite results showing that planning the transition out of sport is associated with more positive emotional responses and fewer emotional difficulties in retirement, only a small proportion of athletes are using the resources available through support programs. This study investigates factors associated with the help-seeking behaviours toward career support resources of 191 surveyed elite athletes of Canada. Information on perceived barriers to help-seeking, the level of engagement to a career outside of sport, and the use of resources was collected using a survey. Results from descriptive and predictive analysis indicate three main perceived barriers to help-seeking: lack of time (51.8%), lack of knowledge (35.1%) and a fear of stigma associated with the use of career support resources (12.6%). Athlete age, sport category (winter, summer) and level of engagement in a career outside of sport are predictors of the use of career support resources.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.284
Teacher spread0.221 · 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