Réception de messages en sécurité routière : de l’empathie virtuelle aux réponses empathiques et cognitives
Bibliographic record
Abstract
D’une part, nous avons examiné le lien entre le trait de personnalité d’empathie virtuelle et les réponses empathiques suscitées à l’égard de six messages en sécurité routière axés sur la menace et produits tant au Québec qu’en France. D’autre part, nous avons exploré la manière dont les réponses empathiques interviennent dans le traitement de l’information, de même que l’influence du contexte de production sur l’intensité des réponses empathiques et sur le type de pensées générées. L’analyse des données a permis de mettre en exergue l’influence du contexte de production sur la capacité de projection dans le scénario publicitaire, les publicités québécoises ayant engendré les plus fortes réponses empathiques.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".