La reconnaissance de la dignité humaine interprétée à partir d’un modèle d’analyse de l’éducation éthique : un parcours en sept composantes
Bibliographic record
Abstract
Cet article examine les différentes composantes d’un modèle d’éducation éthique sous l’angle de la reconnaissance de la dignité humaine. Ce modèle, qui permet une lecture fine de l’éducation éthique dans un programme, se présente en sept composantes : trois composantes simples Éducation à la société (ES), Formation personnelle (FP) et Éducation à l’autre (EA) et quatre composantes à l’intersection de ces dernières (FP/EA, FP/ES, EA/ES et FP/EA/ES). Il a été développé dans le cadre de travaux menés sur l’éducation dans la francophonie. La recherche qualitative dont est issu ce modèle emprunte une logique inductive ancrée dans le corpus analysés. Au terme de l’examen des composantes de ce modèle, la conclusion est qu’une éducation éthique qui ferait de la dignité humaine un point de repère et une destination appellerait à une forme particulière de la reconnaissance de ladite dignité dans chacune des composantes dudit modèle.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".