L’embrigadement du passé canadien : Les politiques mémorielles du gouvernement Harper
Bibliographic record
Abstract
Dans ce commentaire critique sur les usages politiques de la mémoire dans le Canada contemporain, l’auteur se penche sur l’embrigadement du passé canadien par le gouvernement de Stephen Harper, depuis son accession au pouvoir en 2006. Il montre comment la reconstruction du passé de la nation s’inscrit dans la volonté refondatrice des conservateurs et il présente les stratégies déployées par ces derniers pour refaire l’histoire du Canada à leur image : mise en exergue des liens unissant les Canadiens à la monarchie et de l’histoire militaire, tentative de faire de la Guerre de 1812 et de la Première Guerre mondiale des événements fondateurs du Canada moderne, création du Musée canadien de l’histoire. En parallèle, l’auteur présente le démantèlement dont est victime Bibliothèque et Archives Canada, le principal dépositaire de la mémoire canadienne.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.027 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".