The Acceleration-Axonal Strain Relationship and mTBI: Future Directions for Head Protection
Bibliographic record
Abstract
The primary determinant of helmet suitability in performance standards and certification programs is the head-form acceleration (peak acceleration <275 to 300 g) obtained in the drop tests. This has led to ice hockey helmets that have been very successful in reducing the risk of focal (localized) head injuries. Parallel to this development has been a concomitant increase in the amount and severity of checking about the head that has led to a substantial rise in mTBI at all levels of hockey. While this may be regarded as a behavioral issue, calling for improved player respect, rules enforcement, etc., there are some who believe that mTBI risk reduction can be achieved via helmets. The cause of mTBI is axonal shear strain precipitated by rotational acceleration of the brain. While recent research has indicated that the concussion state is precipitated by a strain of some 2 to 5% and beyond, the level of acceleration needed to produce this amount of strain is unknown. This paper will explore the need for establishing an acceleration-axon strain relationship that may eventually be used to develop head protection strategies that are effective in reducing the concussion risk in hockey.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.009 |
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".