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Record W3129073126 · doi:10.1123/tsp.2020-0018

Athlete–Coach Conflict and a Sport Psychologist Caught in the Middle: A Case Study of Consultancy During Athlete Preparation and Performance in Olympic Games Athletics

2021· article· en· W3129073126 on OpenAlexaff
Jonathan R. Males, John Kerr, Joanne Hudson

Bibliographic record

VenueThe Sport Psychologist · 2021
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologySport psychologyApplied psychologyCoachingAthletesClosenessPerspective (graphical)Psychological interventionEliteInterpersonal communicationSocial psychologyPublic relationsPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

This case study examines the personal experiences of an elite athlete, coach, and sport psychology consultant (SPC) during the athlete’s preparation and performance in a recent Olympic Games. The qualitative research details how the consultancy process was affected by the athlete’s late admission of the deteriorating relationship with his coach. The concepts of closeness, commitment, complementarity, and co-orientation provided a theoretical perspective to the SPC’s interpretation of athlete performance and the interpersonal conflict that developed between athlete and coach. The basic performance demand model provided an applied perspective. The SPC’s commentary adopts a reflexive discursive style that also focuses on the SPC’s role in the consultancy process and the effectiveness of the performance demand model materials. Five important recommendations arise from the case study, and these might inform other SPCs’ future athlete–coach consultancies and interventions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.342
Teacher spread0.286 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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