Bibliographic record
Abstract
Manitoba's French-Language Crisis: A Cautionary Tale, Raymond M. Hébert, Montreal and Kingston: McGill-Queen's University Press, 2004, pp. xvi, 296. Raymond Hébert, a professor at Collège universitaire de Saint-Boniface, was passionately engaged as a participant-observer in the divisive debate he documents regarding the proposed constitutional entrenchment of French-language government services in Manitoba in 1983–4. When his family settled in Manitoba in the 1880s, the skeletal provincial government operated under a constitutionally bilingual regime in the context of increasingly explosive Ontarian immigration that refashioned provincial society. Forgotten by most followers of Canadian politics, the raucous controversy meticulously examined in this book came close to paralyzing the NDP government. Hébert's reconstructed imbroglio builds well on documented sources but, oddly, he only interviewed participants supportive of the changes and not their opponents.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.020 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".