Nouvelle philanthropie et localisation de la lutte contre la pauvreté
Bibliographic record
Abstract
En 2015, Centraide du Grand Montréal lançait son Projet Impact Collectif (PIC), une initiative visant à réduire la pauvreté dans les quartiers montréalais mise sur pied grâce aux dons de sept grandes fondations privées. Dans ce texte, nous exposerons d’abord la manière dont le PIC s’inscrit dans l’approche territoriale intégrée (ATI) et témoigne d’un repositionnement de l’État en matière de lutte contre la pauvreté qui relègue à des acteurs locaux et non étatiques la responsabilité d’enrayer ce fléau. Nous mettrons ensuite de l’avant les impacts de cette tendance sur l’autonomie des organismes communautaires et des personnes qui les fréquentent.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Analysis of a philanthropic anti-poverty initiative in Montreal; social policy, not research.
The article analyzes philanthropic approaches to poverty reduction, not research practice.
Critical analysis of philanthropy and local poverty policy in Montreal; social policy, not research practice.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".