Changements climatiques et distorsion de la perception des québécois: de la communication à l'action
Bibliographic record
Abstract
Le changement climatique est un enjeu majeur pour lequel la population mondiale doit se responsabiliser. Les Québécois démontrent une grande préoccupation pour ce phénomène planétaire tout en affirmant en faire assez pour la cause. Cette croyance ne se reflète pas dans leurs habitudes, choix de transports ou de consommation. Comment au Québec la communication publique peut-elle inciter les citoyens à réduire de manière plus importante leurs émissions de gaz à effet de serre (GES) et ainsi réduire l’écart entre ce qu’ils disent et ce qu’ils font? Cette communication doit nécessairement viser une meilleure compréhension du phénomène et un engagement des Québécois à diminuer leurs émissions de GES, notamment dans les secteurs du transport et des déchets, sans y associer le changement climatique, lequel est empreint de connotations négatives.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".