Conservación del medio ambiente en el Bas-Saint-Laurent, Quebec: iniciativas locales para preservar y habitar el territorio de otra manera
Bibliographic record
Abstract
En la región del Bas-Saint-Laurent (Quebec) están emergiendo diferentes iniciativas y alternativas de protección del paisaje y conservación de la naturaleza. Este artículo explora esos casos de protección del medio ambiente, situándolos en el marco más amplio de la conservación de la naturaleza y de las áreas protegidas en Quebec, prestando atención especial a los actores que los promueven, a la manera en que se estructura este sector, unas veces al margen del Estado y otras veces con su apoyo, así como al tipo de actividades en las que se hace hincapié. Esto permite entender cómo esas iniciativas tratan de habitar el territorio de otra manera, cómo valorizan la naturaleza de forma diferente, y a qué se debe su aparición.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".