Des recherches vers un Québec sans pauvreté au goût des acteurs concernés
Bibliographic record
Abstract
Une consultation a été réalisée au printemps et à l’été 2010 sur les recherches à mener dans l’esprit et le sillage de la Loi visant à lutter contre la pauvreté et l’exclusion sociale. Le présent article fait état de quelques-uns des principaux constats de la consultation, ainsi que de certains accords et désaccords entre les participants. Il porte une attention particulière aux enjeux que soulève la participation des quatre groupes d’acteurs pressentis à la réalisation des recherches, tant au plan de leur conception que de leur réalisation et de leur diffusion. Il plaide finalement en faveur de recherches répondant aux attentes croisées qui se dégagent de cette consultation, comme façon d’expliciter et de discuter les présupposés des recherches, et ainsi d’en accroître la rigueur.
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 | 0.019 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| 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".