Pour une approche sociopolitique de la philanthropie financière : plaidoyer pour un programme de recherche
Bibliographic record
Abstract
Cet article défend la pertinence d’une approche sociopolitique de la philanthropie, à travers cinq clés de lecture : 1) le recours à la science comme point d’appui externe ; 2) l’articulation entre le don et l’action collective ; 3) le lien entre la richesse, les inégalités et la philanthropie financière ; 4) le rapport entre le don et l’impôt ; et 5) la relation entre l’État et la philanthropie. Cette recherche, appuyée par un recul historique, invite ainsi à analyser la philanthropie comme un phénomène politique, malgré son apparente dépolitisation et sa distance du champ politique. Cette étude est donc également un défi proposé à la science politique.
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 | 0.058 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.021 | 0.032 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.010 | 0.016 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".