L’écoformation comme paradigme-clé pour penser les pratiques d’école dehors
Bibliographic record
Abstract
Le propos de ce bref article est de montrer comment le courant de l’écoformation éclaire le champ émergent dit de « l’éducation par la nature » (outdoor nature-based education) et, en particulier, les pratiques dites « d’école dehors » quand elles s’effectuent en milieu dit « naturel », en proposant un « regard écoformateur » sur les pratiques d’enseignement et d’apprentissage au contact de « la nature » en milieu scolaire. Parce qu’il met au jour les forces en jeu dans la formation existentielle de l’individu et ce, dans une visée intrinsèquement holistique, le paradigme de l’écoformation permet de penser les dynamiques formatives engendrées par les pratiques d’école dehors. On explorera ainsi l’apport de l’écoformation pour comprendre les phénomènes transformateurs qui apparaissent, au niveau des trois sphères psychologique, sociale et écologique, chez les enfants et les professionnel.les durant les temps d’école en nature.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.025 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".