L’éco-ontogenèse : les relations à l’environnement dans le développement humain. D’autres rapports au monde pour d’autres développements
Bibliographic record
Abstract
Cet article présente une proposition de situation éducative résultant d’une recherche de développement théorique centrée sur l’analyse de thèses proposant des modèles du développement humain (ontogenèse) où les liens à l’environnement (éco) sont pris en considération (Berryman, 2002). La proposition résulte notamment de l’analyse des thèses et modèles de développement de Louise Chawla, de David Hutchison, de Harold Searles, de Paul Shepard et de David Sobel. L’analyse des thèses et la proposition de situation éducative sont faites en comparant les relations à l’environnement durant la petite enfance, l’enfance et l’adolescence. L’éco-ontogenèse devient ainsi un autre prisme permettant entre autres de questionner et d’enrichir le champ théorique ainsi que les pratiques d’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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".