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Record W2785129083 · doi:10.11575/prism/5385

The effect of a ski-snowboard injury prevention video on safety knowledge and behaviours in school programs

2018· dissertation· en· W2785129083 on OpenAlexaboutno aff
Tatum Priyambada Mitra

Bibliographic record

VenueOpen MIND · 2018
Typedissertation
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsApplied psychologyPsychologyEngineeringMedical educationMedicine

Abstract

fetched live from OpenAlex

Purpose: To implement and evaluate the effects of a skiing and snowboarding injury prevention video on child and adolescent safety knowledge and behaviours. Study Design: Cluster-randomized controlled trial. Background: Skiing and snowboarding are two popular winter activities; however, these sports can lead to injury. Previous studies have found that injuries in snow sports can be prevented and may be associated with poor decisions, actions and human error. Currently, there is no comprehensive injury prevention program found in skiing and snowboarding. Methods: The participants were students in grades 2 through 9 who were a part of the ski and snowboard school programs at a ski area in Southern Alberta. The participants were randomized into either the control or intervention group, based on the school they attended. The control group followed the current standard protocol for the ski and snowboard school programs, including an orientation video, while the intervention group received a video that focuses on safety knowledge and injury prevention. The outcomes were measured through the use of pre- and post-tests (safety knowledge uptake) and the observations of risky behaviours on the ski hill. Results: There was a significant increase in safety knowledge scores for those in the intervention group immediately following exposure to the video intervention (mean change: +1.91 points/15 points) compared with the control group after exposure to the control video (mean change: +0.10 points/15 points). There were 23.31 risky behaviours/100 runs (95% CI: 16.75-29.87) for those in the control group, and 22.95 risky behaviours/100 runs (95% CI: 17.63-28.26) for those in the intervention group. Conclusion: This project demonstrates that a skiing and snowboarding injury prevention video can improve knowledge scores within a school-aged population. The video intervention, however, was not associated with the overall incidence of risky behaviours in this population. Future injury prevention research should investigate how to better translate knowledge to induce behavioural changes and limit risky behaviours in child and adolescent skiers and snowboarders.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.563

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 integrity0.0000.000
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 head0.013
GPT teacher head0.360
Teacher spread0.347 · 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 designOther design
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

Citations0
Published2018
Admission routes1
Has abstractyes

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