Évolutions des pratiques de mobilité et du rapport à l'automobile chez les jeunes. Une comparaison Lyon-Montréal Rapport final Décembre 2015
Bibliographic record
Abstract
La recherche EVOLMOB a pour objectif de comprendre les évolutions dans le rapport à l’automobilité des jeunes générations. Plusieurs enquêtes récentes constatent que pour la première fois depuis 30 ans les jeunes passent moins le permis de conduire et proposent notamment comme pistes explicatives : le renchérissement des coûts de l’énergie, le report vers d’autres modes de transport (Delbosc, Currie, 2013), la montée des préoccupations environnementales, la nouvelle appétence pour les technologies de l’information qui dispenseraient de se déplacer autant ou permettraient de se déplacer autrement (Dutzik, Baxandall, 2013). Il s’agit donc de décrire les évolutions en matière de mobilité des jeunes, qu’il s’agisse du permis de conduire, de la possession d’un véhicule et des usages des modes de déplacements comme d’analyser les ressorts de ces évolutions au travers d’une comparaison internationale entre Lyon et Montréal.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".