THE NATIONAL QUESTION IN QUEBEC AND ITS IMPACT ON CANADIAN CULTURAL POLICY
Bibliographic record
Abstract
Since this article was written, a referendum on Quebec independence was held on 30 October 1995. The vote was preceded by a sometimes bitter campaign that saw the federal side lose ground in the polls until separists and federalists were evenly split. The result was a dead heat with the ‘no’, or federal, side winning by a thin margin of 50,000 votes. Canada came as close to splitting up as any modern democracy in recent times. The vote has forced both Quebec and Canada into a profound re-evaluation of nationhood, culture and the shape of governing structures within federal systems. It has placed arguments about fiscal and cultural policy into the foreground and reignited debates about the role that modern media play in shaping public opinion. In fact, questions about the public sphere and the various ways in which issues of central concern to the future of social, economic and cultural policy can be articulated are now at centre-stage in Canada.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.029 | 0.013 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".