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Record W2002499647 · doi:10.1260/174795409790291448

Exploring Parent-Related Coaching Stressors in British Tennis: A Developmental Investigation

2009· article· en· W2002499647 on OpenAlexaff
Camilla J. Knight, Chris Harwood

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2009
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStressorCoachingPsychologyDevelopmental psychologyAthletesApplied psychologyClinical psychologySocial psychologyMedicinePhysical therapyPsychotherapist

Abstract

fetched live from OpenAlex

In order to explore the stressors that tennis coaches' associate with parents and examine how such stressors may differ depending upon a player's developmental stage of participation, seventeen focus group interviews were conducted with a total of 70 coaches; 28 coaches of sampling stage players, 24 coaches of specializing stage players, and 18 coaches of investment stage players. Content analysis of the focus group data revealed three general dimensions of stressors: direct coaching stressors, player-related stressors, and external and system-based stressors. Sampling-stage coaches reported many stressors relating to parents' understanding of tennis and development. Specializing-stage coaches highlighted multiple stressors concerning parental pressure and involvement. Investment-stage coaches replicated many of the specializing stage stressors, but also highlighted various methods to reduce parent-related stressors. Results are discussed in relation to previous research. Practical implications to reduce the stressors British tennis coaches encounter are provided.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0010.001
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 head0.073
GPT teacher head0.334
Teacher spread0.261 · 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

Citations66
Published2009
Admission routes1
Has abstractyes

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