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Record W4312363652 · doi:10.1123/iscj.2021-0086

Mental Health Literacy Workshop for Youth Sport Coaches: A Mixed-Methods Pilot Study

2022· article· en· W4312363652 on OpenAlexaff
Breanna J. Drew, Jordan Sutcliffe, Sarah K. Liddle, Mark W. Bruner, Colin D. McLaren, Christian Swann, Matthew J. Schweickle, Stewart A. Vella

Bibliographic record

VenueInternational Sport Coaching Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsNipissing University
Fundersnot available
KeywordsMental health literacyMental healthPsychological interventionPsychologyLiteracyMedical educationAthletesApplied psychologyHealth literacyPedagogyMedicinePsychiatryPhysical therapyHealth careMental illnessPolitical science

Abstract

fetched live from OpenAlex

Among other responsibilities, youth sport coaches are positioned to monitor and address the mental health needs of their athletes. Despite this, there are limited interventions aimed at improving coaches’ mental health literacy. Using a mixed-methods design, the aim of this pilot study was to evaluate the feasibility, acceptability, and mental health literacy outcomes associated with a brief (75 min) workshop for youth sport coaches. Fourteen coaches (13 males, one female) completed pre- and postworkshop surveys measuring indices of mental health literacy, and 10 of these same participants engaged in a semistructured interview 1-month later. Overall, coaches who participated in the pilot workshop reported significant improvements in depression literacy, intentions to seek self-help for oneself and their athletes, and knowledge and confidence to provide help. In addition, coaches reported positive impressions of the workshop during the follow-up interviews and provided concrete examples of program content application. An important suggestion made by coaches was the need to align the workshop content to governing policy. Taken together, this pilot mental health literacy workshop for youth sport coaches shows strong promise and is ready for large-scale dissemination.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.071
GPT teacher head0.453
Teacher spread0.382 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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