Mémoire présenté dans le cadre de la consultation ministérielle sur le Plan de développement durable du Québec et l'avant-projet de loi sur le DD
Bibliographic record
Abstract
Le mémoire se décline en dix thématiques : \n1. Le code de conduite gouvernemental vs un Plan de DD pour le Québec; 2. Les dimensions du DD; 3. La définition du DD proposée par Québec; 4. Les processus d’élaboration, de coordination, de mise en œuvre et de gestion du DD; 5. Le statut juridique du droit à l’environnement; 6. La mesure et l’évaluation du DD; 7. Le rôle d’un commissaire au DD; 8. La participation des acteurs et le rôle de l’État; 9. La création d’un Fonds vert; 10. La présente consultation et les garanties de son efficacité et suivi. Pour chacune des thématiques abordées, des recommandations sont formulées. Au total, les vingt et une recommandations sont reprises en conclusion.
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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.069 | 0.007 |
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".