Réal BRISSON (2000), Oka par la caricature. Deux visions distinctes d’une même crise. Québec, Les Éditions Septentrion.
Bibliographic record
Abstract
Des Indiens Mohawks occupaient, deja avant la Conquete (1759), la seigneurie du lac des Deux-Montagnes, aujourd’hui la region d’Oka-Kanesatake, pres de Montreal. Pendant deux cents ans, ils reclamerent leurs droits de propriete et d’usage des lieux. En 1945, la propriete seigneuriale fut vendue a des interets etrangers et le gouvernement canadien recupera certaines parcelles de terre au profit des Iroquois d’Oka. Pendant les decennies qui suivirent, les Mohawks de Kanesatake soumirent a leur ...
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".