Crash analysis of a three-year-old human child model in side impacts considering normal and incorrect CRS usage
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.
Bibliographic record
Abstract
The majority of child crash analyses have been evaluated using child dummies. Due to structural simplifications in modelling human anatomy in crash testing dummies, the predictive capabilities of dummies for injuries are limited. In previous studies, a three-year-old human child model was modified by implementing the child neck biomechanical behaviour. The altered biofidelity of the cervical spine was validated with paediatric cadaver head/neck tests reported in the literature. This study focuses on the crash evaluation of the modified three-year-old human child model, by comparing kinematic and biomechanical responses to those of the unmodified human child model and the Q3s dummy model in simulated side impacts. Four different restraint conditions, namely near-side, far-side, near-side misuse (without top tether) and far-side misuse, were selected for comparison in terms of the Head Injury Criteria, head acceleration, head excursion, head contact force, neck force and chest acceleration, under a forward-facing configuration.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it