Bibliographic record
Abstract
Du conflit armé à la barricade symbolique, les modalités du siège sont diverses : en font foi les célébrations du 500e anniversaire des Amériques, la crise d’Oka, les audiences publiques de la Commission Bouchard-Taylor, les manifestations numériques dans les jeux vidéos massivement multijoueurs, ainsi que la figuration de l’isolement et de la précarité dans la poésie et la littérature (Émile Ollivier, Milton Acorn, Victor Lévy Beaulieu). À partir de différents domaines disciplinaires (des sciences politiques aux études littéraires), les collaborateurs interrogent les tensions à l’œuvre entre marginalité et centralité, concertation et dissension, liberté et contrainte, droit d’asile et exil. À l’encontre des discours convenus sur les flux de la postmodernité et la déterritorialisation, nous mettons ici l’accent sur les usages du pouvoir dans l’espace. De diverses manières, la représentation du conflit et de la concertation mise en jeu lors du siège contribue à mieux cerner les modes de relation et de symbolisation qui se construisent au sein d’espaces contraints. COLLABORATEURS Denis Bilodeau Maude Bonenfant Sandra Breux Jenny Burman Amaryll Chanady Claudine Cyr Caroline Desbiens Simon Harel René Lapierre Hugo Loiseau Arianne Loranger-Saindon Pierre Ouellet Alena Prochazka Roxanne Rimstead Christian Saint-Germain Isabelle St-Amand
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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 | 0.003 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.002 |
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".