Renouveler les perspectives sur l’internationalisation des sciences et des environnements : le cas de la foresterie québécoise (1880-1940)
Bibliographic record
Abstract
Depuis le milieu des années 1990, l’ouverture de nouvelles perspectives historiographiques dans le domaine de la géographie des sciences, et l’essor de l’histoire environnementale, ont créé des opportunités d’hybridation entre ces deux approches. À cet égard, le développement des sciences forestières au Québec entre les années 1880 et 1940, à la croisée des influences européenne et nord-américaine, offre un terrain d’investigation privilégié pour observer les dynamiques de mise en science de la nature à l’échelle transatlantique. En effet, l’examen des diverses contraintes économiques, politiques, sociales, et culturelles entourant les transferts de pratiques scientifiques européennes sur les environnements forestiers nord-américains, permet de mettre en lumière le processus de métissage des théories et des pratiques au niveau local, dans un contexte de forte internationalisation des sciences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.034 | 0.044 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".