Penser l’arrimage entre métabolisme et sociétés. Éléments pour un recadrage épistémologique de l’école d’écologie sociale viennoise
Bibliographic record
Abstract
Combinant sciences naturelles et sociales, l’écologie sociale de l’École de Vienne surmonte l’opposition historique entre ces disciplines. En contraste avec les approches économiques classiques, l’École de Vienne met en avant le concept de métabolisme social, dans le cadre d’une analyse considérant les flux de matière et d’énergie et les mécanismes assurant la reproduction de la société. Or, l’avancement de la recherche métabolique souffre jusqu’à présent du fait que la notion de société ait été insuffisamment théorisée. Cet article propose de pallier cette lacune épistémologique en situant la médiation symbolique dans l’appropriation sociale de la nature. La démarche empruntée a pour fil rouge la sociologie dialectique, et jette un éclairage théorique, 1) sur la médiation de la société dans le rapport humain à la nature, et 2) sur le rôle du symbolique dans la reproduction de la société.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.027 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".