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Record W3096085459 · doi:10.1123/tsp.2019-0161

Examining Coaches’ Approaches to Teaching Life Skills and Their Transfer in Youth Sport

2020· article· en· W3096085459 on OpenAlexaff
Laura Martin, Martin Camiré

Bibliographic record

VenueThe Sport Psychologist · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLife skillsPsychologyJournaling file systemAthletesPositive Youth DevelopmentProcess (computing)Youth sportsApplied psychologyPedagogyDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Coaches have been shown to play key roles in the life-skills development and transfer process. The purpose of the study was to examine coaches’ approaches to teaching life skills and their transfer in youth sport. A multiple case study design was employed. Each case was composed of one coach and at least two of their athletes involved in youth baseball, rugby, soccer, and sailing. The data collection involved pre- and postseason interviews and in-season journaling with coaches, as well as postseason interviews with athletes. The results indicated that the coaches predominantly used implicit approaches, with just over half identified as using some explicit approaches to teach life skills. The coaches discussed several factors that influenced their decisions to use or not use explicit life-skills teaching approaches. The results have implications for future research and applied efforts aimed at maximizing the developmental gains athletes can derive from their participation in sport.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.234
GPT teacher head0.310
Teacher spread0.076 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2020
Admission routes1
Has abstractyes

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