Éduquer et communiquer en matière de changements climatiques : défis et possibilités
Bibliographic record
Abstract
Les éducateurs et agents de communication en matière de changements climatiques font face à de nombreux défis. Les concepts scientifiques reliés au climat sont souvent mal interprétés. Les citoyens estiment que les changements climatiques auront peu d’impacts sur leur propre vie. Ils perçoivent peu les changements graduels dans leur environnement. Les comportements de surconsommation rapportent pouvoir, plaisir et reconnaissance. Plusieurs personnes, déconnectées du milieu naturel, ont tendance à prendre des décisions émotives et à résoudre rapidement les problèmes environnementaux. À partir des travaux de recherche dans le domaine, des stratégies de communication et d’éducation sont proposées pour favoriser chez les apprenants une meilleure compréhension des changements climatiques, leur communiquer l’urgence d’agir, les motiver à adopter des comportements d’atténuation et les rendre aptes à implanter des mesures d’adaptation.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".