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Record W2953238748 · doi:10.1080/13588265.2019.1628479

Comparing two proposed protocols to test the oblique response of cycling helmets to fall impacts

2019· article· en· W2953238748 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Crashworthiness · 2019
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsUniversity of TorontoSt. Michael's HospitalUniversity of Ottawa
Fundersnot available
KeywordsKinematicsFalling (accident)CyclingOblique caseHead (geology)Poison controlHybrid IIIPhysical medicine and rehabilitationSimulationEngineeringGeologyPhysicsMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.380
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it