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Lived experiences within a longstanding coach-athlete relationship. The case of one paralympic athlete

2018· article· en· W2906213370 on OpenAlexaff
Fernando Santos, Martin Camiré, Dany J. MacDonald

Bibliographic record

VenueÁgora/Ágora para la educación física y el deporte · 2018
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Prince Edward IslandUniversity of Ottawa
Fundersnot available
KeywordsAthletesPsychologyEmpathyInterpretative phenomenological analysisSisterDevelopmental psychologySocial psychologyPhysical therapyMedicineQualitative researchSociology

Abstract

fetched live from OpenAlex

The purpose of the present study was to explore the lived experiences of one male Paralympic athlete who maintained a longstanding relationship with his coach. This case provides insight into how a coach can serve as a key supportive agent in enabling an athlete to thrive both in sport and in life. The athlete was interviewed on two separate occasions and an interpretative phenomenological analysis was conducted. The athlete discussed the consequences of an acute bout of meningitis experienced at four years of age that left him impaired. During adolescence and adulthood, the athlete experienced the death of his mother and sister as well as the challenges associated with him assuming his homosexuality. Throughout these ordeals, his coach acted as a constant support figure. The athlete attributed much weight to his coach’s trust, respect, and empathy in explaining the significant success he attained on the international stage. The recommendations offered focus on how coaches can support athletes when athletes are navigating tough challenges.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0210.014
Scholarly communication0.0060.003
Open science0.0020.009
Research integrity0.0030.006
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 head0.068
GPT teacher head0.406
Teacher spread0.338 · 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 designQualitative
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

Citations6
Published2018
Admission routes1
Has abstractyes

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