Bibliographic record
Abstract
The fact that French Canadians arrived to recognize the identity as ‘Quebec’ from the 1960`s is very important and fundamental fact in the history of Quebec. This result from the Quiet Revolution of Quebec in 1960`s, which had woken a national consciousness: it made recognize his identity as ‘Owner of our Home(Maitre chez nous)’ and aroused the tendance of nationalists by its full recognition. In this study, our review focuses firstly on the route by which the French Canadians aware of his identity and finally become ‘Quebecers’. And then we see how the tendency of Quebecers as nationalists was stimulated and widespread in the 1960s and 1970s through a few songs of Quebec, in particular ≪Mon pays≫, ≪Il nous reste un pays≫ and ≪Gens du pays≫ of Gilles Vigneault. By reading the lyrics of these songs with appreciation, particularly those of “Gens du pays” considered an unofficial national anthem of Quebec, we see the appearance of Gilles Vigneault as a major instigator who asks his ‘Gens du pays’ to love Quebec and to speak French ‘unhesitatingly’ and ‘with pleasure’. This reflection helps us not only to understand why Quebecers continue to recognize their identity and exist as an ardent guardians for Quebec and their official language, French, but also to confirm the status of Qubec as one of important regions of Francophonie and the multicultural society.
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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 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.005 |
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".