Bibliographic record
Abstract
The current issue of information access for different nations within one state is examined. The media of Quebec, the only francophone province of Canada, give us a clear example. However, Russian scholars almost disregard this domain. Therefore, the research is based on the Canadian works (M. Brunet, A. Beaulieu and J. Hamelin, W.H. Kesterton) in French and in English. The Royal Commission on Newspapers Report (1981), which described two separate media systems (French media and English media), was used as well. The focus is on the Franco-Canadian national problem and its influence on Quebec media historic evolution. This process moves from bilingual editions (two first newspapers were published in French and in English simultaneously) to modern monolingual media system. Through comparative analysis, the relationship between media bilingualism and media monolingualism in Quebec of 18-21st centuries is examined. Quebecs modern information politics can be defined as media regionalism (French language and specific Quebec content). Media regionalisms object is to resist federal doctrine one country - one nation with two languages, the base of Official Language Act (1969). As a result, the absence of traditional federal official media bilingualism in Quebec, which tries to save its national heritage by media regionalism, was discovered.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".