Bibliographic record
Abstract
In this issue of CJNS you will read with interest and perhaps even be a little startled by the article by Wennberg and Tator 1 exploring trends in concussion injury rates in the National Hockey League (NHL).Not just the data but the means of retrieval of that data is engaging.While acknowledging limitations of data collection from a media source, make no mistake, The Hockey News is the hockey trade paper and widely read in the industry.Of more value, however, is to appreciate that it is such publications (and the media in a broader way) that have given a "voice" to concussion injury and taken important educational information to the public, community and amateur athletes, i.e., where most concussions are occurring.So when making the statement as the authors do that "there is increased recognition and reporting of concussion" media contribution to that main conclusion should not be underestimated.So let us primarily focus on this main suggestion, that within the NHL there is increased recognition and reporting of concussion.This is a compelling statement with major implications and mirrors my experience in looking after professional athletes with this injury.The statement reflects increasing education about concussion at multiple tiers within the NHL medical and administrative structure.Increasingly, team doctors devote educational time to this injury at academic venues at regular intervals.Take, for example, the recent NHL Injury Summit, Canadian Academy of Sport Medicine, American College of Sport Medicine, and the recent First International Symposium in Concussion.These groups are all devoting large blocks of academic time, if not the entire meeting, to theoretical and practical issues in concussion.The NHL, NHL Players Association and the hockey world are wellrepresented as those attending and participating, and select meetings are even sponsored and endorsed by such groups as International Ice Hockey Federation, Fédération Internationale de Football Association and the International Olympic Committee.As a result, the level of alertness to this injury is high and the threshold to seek expertise consultation low.Players are increasingly communicative with teammates, medical staff and others reflecting their growing concern and knowledge base.Channels to further concussion evaluation are systematically opening including efforts promoted by the NHL Players'Association.Owners, management and coaches are motivated to incorporate new information and approaches into their complex mandates and, as a result, more often seek relevant concussion information.
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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 | 0.003 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".