Politique de lutte contre la pauvreté : nouveaux habits et vieilles dépouilles
Bibliographic record
Abstract
Depuis la fin des années soixante-dix, le problème de la lutte contre la pauvreté refleurit dans le discours politique français. Plusieurs phénomènes sociaux se conjuguent pour montrer l’importance et la signification de cette actualité. Tout d’abord, les effets sociaux de la crise économique (chômage, déqualification professionnelle, blocage des revenus, mise en cause de l’État providence) s’imposent comme une donnée permanente du paysage social. Ils pèsent sur le fonctionnement des institutions sociales et questionnent leur efficacité. Puis, dans le même moment, les professionnels du social sont confrontés aux multiples figures de la pauvreté, qui réduisent les performances de leur savoir-faire et suggèrent un retour de l’assistance. Ces travailleurs sociaux tentent alors d’élaborer d’autres modes de traitement des situations de pauvreté.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".