Initiatives locales et lutte contre la pauvreté et l’exclusion
Bibliographic record
Abstract
L’economie sociale et l’action communautaire permettent de faire face a ce qui engendre la pauvrete et l’exclusion, mais elles ne parviennent pas a elles seules a les inflechir. Combinees a l’economie publique et privee cependant, elles peuvent etre la base d’une strategie plurielle de developpement susceptible d’augmenter la richesse commune des collectivites locales. Voila ce que montre l’analyse approfondie de dix cas d’initiatives locales de lutte contre la pauvrete et l’exclusion menees dans trois regions du Quebec (Montreal, Saguenay Lac-Saint-Jean et Bas-Saint-Laurent). Les auteurs revelent les facteurs qui ont fait la reussite de ces initiatives afin que les chercheurs et les acteurs concernes par cette lutte puissent en tirer profit. L’existence d’un leadership fort, la capacite de mobiliser une grande diversite de ressources et l’utilisation creative des programmes publics sont quelques uns de ces facteurs cles qui participent a la mise en œuvre d’une dynamique de reconversion socioeconomique des communautes permettant l’amelioration de la qualite et du niveau de vie des citoyens.
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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 | 0.002 | 0.004 |
| 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 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".