Le développement durable et l’homo economicus : de l’occultation du concept de diversité culturelle
Bibliographic record
Abstract
La diversité culturelle fait-elle partie du développement durable ? Comment le concept de développement durable a-t-il évolué depuis 20 ans dans les discours institutionnels onusiens du PNUE et du PNUD au point d’occulter la diversité culturelle ? L’analyse portera sur la transformation de valeurs et concepts de l’écologie dans le discours de l’économie verte. Elle examinera aussi la mutation du concept de développement en développement humain excluant toute référence à la diversité culturelle. La modernité uniforme relancée par le concept de développement durable et l’homo economicus pourrait néanmoins s’ouvrir à condition que le principe de diversité soit mis en œuvre. Ceci passe par la reconnaissance de la pluralité des façons d’habiter la terre afin de repenser la relation entre l’humain et la 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.029 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".