Les interactions sociales comme frein à l’expression de la sensibilité environnementale des jeunes
Bibliographic record
Abstract
À partir de l’analyse qualitative du contenu de 32 entretiens réalisés auprès de jeunes se déclarant engagés dans le domaine de l’écologie en France, cet article propose d’analyser de manière inductive les risques perçus par ces derniers lors de l’affichage de leurs convictions sur les questions environnementales en ligne. Comme le souligne le sociologue Geoffroy Pleyers, si l’engagement comporte toujours une part d’expérimentation dans le contexte contemporain, alors la rencontre avec l’autre peut apparaître comme un moment d’incertitude et de prises de risque. Ainsi les jeunes de l’enquête nous font part du risque de la confrontation, de la désapprobation et même de l’accusation dont ils sont parfois victimes. Notre analyse nous amène alors à interroger en quoi les contextes interactionnels peuvent constituer des freins (ou des leviers) à l’engagement des jeunes dans le domaine de l’éducation relative à l’environnement.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".