Socialisation au risque et construction sociale des comportements de l’enfant piéton : éléments de réflexion pour l’éducation routière
Bibliographic record
Abstract
L’objectif de cet article est de faire un état des lieux des courants de recherche sur le comportement de l’enfant piéton en milieu urbain et de pointer le poids de la socialisation au risque dans la construction de ces comportements. Sont abordées notamment la différenciation entre règles institutionnelles et normes sociales et la catégorisation des règles comportementales sur lesquelles s’appuie l’enfant lors de ses déplacements dans la ville. À titre d’exemple, sont évoqués les résultats de recherches sur les facteurs psychosociaux explicatifs des différences de sexe dans l’accidentologie routière. En conclusion, des pistes d’action en termes d’éducation routière, découlant de la prise en compte de la construction sociale des comportements de l’enfant piéton, sont relevées.
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.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".