Les firmes multinationales face au risque climatique : sauver le capital en sauvant la terre ?
Bibliographic record
Abstract
Le risque climatique constitue une mise en cause et en question des activités et pratiques d’un grand nombre d’acteurs économiques. Pour tenter d’y faire face, un processus de prévention a été engagé par des Etats. Du fait de leur place et pouvoir dans la dynamique du capitalisme mondial, les firmes multinationales ont été alors particulièrement promptes à réagir, soit pour annihiler, soit pour contrôler le processus institutionnel en question. Au cœur du problème : les exploitants et les gros consommateurs de combustibles fossiles, force motrice du capitalisme contemporain. Devenu, aux yeux de certains, enjeu de stratégie et source potentielle d’opportunités économiques, le risque climatique est le lieu de batailles pour les marchés, entre firmes rivales. Il peut également être lu comme le lieu d’une bataille plus large, entre firmes et éléments contestataires de la société, où l’enjeu devient alors la transformation de structures sociales existantes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 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".