Concussion and Chronic Traumatic Encephalopathy Deaths: Coroners' Inquests as a Catalyst for Public Health Reforms.
Bibliographic record
Abstract
Deaths of participants in sport from the effects of concussive injuries and from chronic traumatic encephalopathy (CTE) raise confronting social issues and challenges for tort law. An uncertainty that often needs to be addressed in such cases is proof of the causes of the former athlete's symptomatology, especially when they may be multifactorial, some or all of which were not directly related to sport. Accounts from the person prior to their death and from family members can be vital sources of such information. Coroners' analyses of evidence in concussion-related deaths constitute an important opportunity for perspectives which can form a sound empirical basis for changes to sporting practices, rules and administration. This editorial reviews a series of biographical and autobiographical accounts of sportspersons with concussion and CTE. It also identifies a corpus of coronial decisions from England, New Zealand, Canada and Australia which have addressed the risks posed to athletes from concussive injuries. It highlights recommendations made by coroners in relation to management of concussion in sport and argues that there is considerable scope for further valuable recommendations based upon their investigations during inquests.
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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 | 0.037 | 0.231 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.019 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".