Comparing two proposed protocols to test the oblique response of cycling helmets to fall impacts
Bibliographic record
Abstract
In cycling, oblique head impacts from a fall cause rotational motion of a cyclist’s head and it is rotational kinematics that are most commonly associated with mild and severe brain injuries. This study aims to compare the head kinematics and brain strain response between two oblique test protocols for simulating fall impact events in cycling. (1) The Angular Launched Impact (ALI) protocol simulates a head impact for realistic and typical falling events in cycling such as falling over the bicycle handle bars or laterally falling, and (2) EN13087-11 is a currently proposed standard test that simulates a head impact from a vertical fall onto an angled surface. EN13087-11 reported greater rotational head kinematics and brain tissue strain than occurs in the more frequent and realistic falling events simulated by the ALI. Differences in response are attributed to the different vector of impact forces associated with the ALI and EN13087-11. When considering how best to test a helmet under oblique impact conditions, it is recommended that a certification test should closely mimic real-world kinematics of cycling accidents.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".