MétaCan
Menu
Back to cohort
Record W4409347376 · doi:10.1080/21640629.2025.2487754

Implementing trauma-informed approaches to coaches’ workplaces in sport to enhance their safety and wellbeing: A critical commentary

2025· article· en· W4409347376 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSports Coaching Review · 2025
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPsychologyEngineering ethicsApplied psychologyEngineering

Abstract

fetched live from OpenAlex

Although safe sport strategies have focused on protecting athletes, coaches’ wellbeing and safety has received less attention. Given recent safe sport directives have been expanded to include all members involved in sport being protected from harm, coaches should not be left out of the discourse. In this critical commentary, we focus on coaches’ potential exposure to adverse events in their workplace, which may lead to them experiencing trauma. To underscore our commentary to include coaches, we draw on composite vignettes and media excerpts focusing on traumatic events experienced by coaches across sports and levels. Examples include coaches being threatened with, or being the recipient/s of violence, witnessing abuse, witnessing traumatic injury or death, and being bullied/cyber bullied, all of which have been linked to trauma. These examples support a case for why trauma-informed work environments should be prioritised by sport organisations to support coach wellbeing and enhance coach safety.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
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 studies0.0000.000
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 head0.045
GPT teacher head0.352
Teacher spread0.308 · 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