Bibliographic record
Abstract
espanolLe dynamisme et l’epanouissement des communautes francophones ne suffisent pas, selon Michel Seymour, a combler le fosse qui s’est creuse entre les Quebecois et les minorites francophones. C’est autour du theme de la nation canadienne-francaise que la fissure s’est amorcee. Pour les Quebecois, elle n’existe plus, alors que pour la majorite des francophones vivant ailleurs au Canada, elle existe encore. Ces deux visions identitaires sont a premiere vue irreconciliables. Afin d’en finir avec les incomprehensions mutuelles, Michel Seymour preconise la depolitisation des rapports que les minorites nationales entretiennent avec leurs majorites nationales respectives. EnglishAccording to Michel Seymour, the dynamism and the expansion of the Francophone communities is not enough to bridge the rift that has been dug between Quebeckers and the Francophone minorities. It is around the theme of the French-Canadian nation that the fissure began. For Quebeckers, it no longer exists, while for the majority of Francophones living elsewhere in Canada, it still exists. These two visions of identities are, at first glance, irreconcilable. In order to put an end to this mutual incomprehension, Michel Seymour advocates the depoliticization of the relationships that national minorities maintain with their respective national majorities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".