L'énergie géothermique : représentations, enseignements et contextes aux Antilles et dans la zone caraïbe
Bibliographic record
Abstract
Geothermal energy has great potential in the West Indies. The exploitation of such resources requires a deep awareness of the local populations, to which an effort in terms of training and education could participate. This science education thesis takes part in the studies related to scientific conceptions and didactic contextualization. It is also part of the GEOTREF project, which aims to develop knowledge and techniques on geothermal energy in the West Indies. The first part of the thesis describes conceptions of students in three territories (Guadeloupe, Martinique and Dominica). It reveals that the conceptions in these three islands are very different, and that they are mainly related to geothermal contexts. The second part presents a pedagogical experiment based on context effects. This experiment brings together students from Quebec and from Guadeloupe. The results confirm the possibility of a teaching based on the effects of contexts, and also make it possible to specify the emergence modalities and the characteristics of these phenomena. The study shows that the confrontation of students’ conceptions, with different geothermal contexts, help with the acquisition of expert conceptions on the subject. Context effects can be used as a tool for the acquisition of knowledge. Finally, geothermal education can be built by taking into account the learners' prior conceptions, while relying on the local geothermal context.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".