How do students at the end of secondary school consider the challenges of sustainable development of the Seine in France? What avenues for education?
Bibliographic record
Abstract
This article aims to understand how students aged 14–17 from different contexts in France consider the issues related to the Seine. 20 interviews were carried out focusing on the implementation of an educational approach enabling students to grasp the priority issues associated with the sustainable development of the Seine. The analysis brings out the way in which the students have experienced the educational approach; it aims to characterise their relationship with the river, and to define their eco-citizen engagement. Several specificities emerge depending on the context studied, but the students of the three schools underline the interest of approaches that go beyond the traditional education form and that are rooted in their local reality. Our article set the interest in valorising another way of learning where students feel more free and autonomous and also requires training teachers in the development of their agency for a transformative-sociocritical approach of ESE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".