PRIORITIZING CONCUSSION PREVENTION IN YOUTH ICE HOCKEY: AN ASSESSMENT OF ENGLISH-LANGUAGE CANADIAN NEWSPAPERS AS A VEHICLE FOR EVIDENCE-BASED KNOWLEDGE TRANSLATION
Bibliographic record
Abstract
Background The extent to which evidence-based injury prevention knowledge is conveyed to the public can have considerable impact on the implementation of injury prevention practice and policy change, which requires significant community engagement and mobilization. Media coverage has been shown to influence the amount of content regarding concussion on social media/networking sites, like Facebook© and Twitter©. Little is known about the extent to which news coverage of concussion reflects current evidence. Objective To examine the extent to which English-language Canadian newspaper coverage reflects evidence-based messages regarding the relationship between body checking policy and the burden of concussion in youth ice hockey players. Design Retrospective study using qualitative content analysis. Methods News releases were collected for primary peer-reviewed research articles conducted through Canadian universities that evaluated the relationship between body checking policy and concussion among pediatric ice hockey players. Coverage of concussion and body checking in youth ice hockey was identified from the five English-language newspapers with the highest reported circulation figures from 2005 to June 2011. The presence of messages extracted from the news releases within the newspaper coverage was examined. Results Five research articles and 33 newspaper items were included. One clinical message frame (i.e., concussions in youth ice hockey are a serious clinical problem) and one public health message frame (i.e., concussions in youth ice hockey are a cause for concern) were identified. Every newspaper item contained at least one of the evidence-based messages, and 31 out of 33 (94%) contained both messages. Conclusion Evidence-based messages regarding the clinical and public health significance of concussion and the impact of body checking in youth ice hockey were accurately reported in Canadian newspaper coverage. The use of newspapers as a vehicle for knowledge translation would be a valuable addition to prevention implementation strategies requiring community engagement and support.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.144 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.016 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".