Le Québec face aux défis de la transition socio-écologique : repenser nos territoires urbains et rurauxActes du colloque annuel du GRIR 2022
Bibliographic record
Abstract
L’ensemble de ces contributions apportent un regard éclairant sur le fait régional et territorial dans un contexte de recomposition des attentes et objectifs de développement, à des échelles différentes et comprises à partir d’approches tout aussi variées. Ces actes du colloque montrent que loin d’être épuisées ou alourdies, les sciences régionales sont capables elles aussi de s’adapter au contexte de transition accélérée dans lequel nous sommes tous et toutes entraînés. Table des matières Sous la direction de Sabrina Tremblay, Suzanne Tremblay, Étienne Roy-Grégoire et Catherine Flynn. Ont contribué, Sabrina Tremblay, Pierre-André Tremblay, Juliette Charpentier, Olivier Riffon, Suzanne Tremblay, Yann Fournis et Nicolas Devaux.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".