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Record W2921068768 · doi:10.1080/21640629.2019.1590082

An intensive longitudinal investigation of a parent–coach’s practices and strategies ‘in action’; challenges and opportunities

2019· article· en· W2921068768 on OpenAlexaff
Chris Zehntner, Jenny McMahon, Kerry R. McGannon

Bibliographic record

VenueSports Coaching Review · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCoachingNegotiationScholarshipPresentation (obstetrics)Dual (grammatical number)PsychologyAction (physics)Perspective (graphical)Action researchApplied psychologySociologyPedagogyPolitical sciencePsychotherapistMedicineComputer scienceSocial science

Abstract

fetched live from OpenAlex

Sports coaching and sport psychology researchers have explored the challenges for parents who undertake the role of coach. Arising from previously research on the parent–coach, a number of strategies have been suggested to assist parent–coaches to be more effective as they negotiate the dual roles. No research has examined the issues, nuances and possibilities of these strategies and practices “in action” from the perspective of the parent–coach. An intensive longitudinal diary approach was used by one parent–coach to document and reflect on coaching practice when applying the researcher proposed strategies. This study adds to scholarship that examines the dual roles of the parent–coach by outlining what works and what does not in terms of previously outlined strategies. We found that the unproblematic presentation of the two roles, in previous research, fails to prepare the prospective parent coach for the complexity of managing the dual roles.

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)0.010
metaresearch head score (Gemma)0.013
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 score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.244
GPT teacher head0.419
Teacher spread0.175 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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