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Record W2170642432 · doi:10.1123/iscj.2015-0022

Canadian High School Coaches’ Experiences, Insights, and Perceived Roles With Sport-Related Concussions

2015· article· en· W2170642432 on OpenAlexaffabout
Jeffrey G. Caron, Gordon A. Bloom, Andrew Bennie

Bibliographic record

VenueInternational Sport Coaching Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsConcussionAthletesPsychologyPerceptionApplied psychologyMedical educationInjury preventionPoison controlMedicinePhysical therapyMedical emergency

Abstract

fetched live from OpenAlex

There is a need to improve concussion education and prevention efforts for youth athletes and those responsible for their care. The purpose of this study was to understand Canadian high school coaches’ insights and perceptions of concussions. Using a case study design, eight high school coaches were interviewed and the data were analysed using a hierarchical content analysis. Findings indicated that participants primarily acquired information about concussions through their own experiences as athletes and parents, and from reports in the sports media. The coaches’ felt their role with concussions was to teach athletes safety techniques during practices and competitions and to encourage them to accurately report their concussion symptoms. In addition, participants forwarded a number of recommendations to improve the dissemination of information to coaches. Results from this study will add to a limited body of concussion research with youth sport coaches. Participants’ insights provide researchers and clinicians with information about coaches’ perceived role with sport-related concussions.

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)0.001
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 score0.104
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.304
Teacher spread0.270 · 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

Citations10
Published2015
Admission routes2
Has abstractyes

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