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Record W2220999911 · doi:10.1111/sms.12642

Head injury trends and helmet use in skiers and snowboarders in Western Canada, 2008–2009 to 2012–2013: an ecological study

2015· article· en· W2220999911 on OpenAlex
Tracey J. Dickson, Stephen Trathen, F. Anne Terwiel, Gordon Waddington, Roger Adams

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueScandinavian Journal of Medicine and Science in Sports · 2015
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsMedicineHead injuryInjury preventionPoison controlOccupational safety and healthHead (geology)ConcussionPhysical therapySurgeryEmergency medicine

Abstract

fetched live from OpenAlex

This research explored associations between helmet use and head injuries in snowsports by investigating reported snowsport injuries in Western Canada from 2008-2009 to 2012-2013. The key finding was that increased helmet use (from 69% to 80%) was not associated with a reduction in reported head injuries. Over the study period, the average rate of reported head injuries was 0.2/1000 skier visits, with a statistically significant variation (P < 0.001). The line of best fit showed an non-significant upward trend (P = 0.13). Lacerations were the only subcategory of head injuries that decreased significantly with helmet use. A higher proportion of people who reported a head injury were wearing a helmet than for injuries other than to the head. Skiers were more likely to report a head injury when wearing a helmet than snowboarders (P < 0.001 cf. P = 0.22). There were significant differences in characteristics of helmet and non-helmet wearers. Helmet wearers were more likely to be: young adults (P < 0.001); beginner/novices (P = 0.004); and snowboarders (P < 0.001), but helmet wearing was not associated with gender (P = 0.191). Further research is needed to explore the possible reasons for the failure of helmets to reduce head injuries, for example, increased reporting of head injuries and increased risk-taking combined with over-rating of the helmets' protection.

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)0.003
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 score0.336
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.345
Teacher spread0.306 · 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