Bibliographic record
Abstract
Voila maintenant plus de 460 ans que les voyages de Jacques Cartier ont introduit la langue francaise en Americjue du Nord, et bientot quatre siecles depuis la fondation des premieres colonies, d'abord en 1605 avec un poste de traite a Port-Royal sur La Baie Frangaise (maintenant La Baie de Fundy) en Acadie, ensuite dans une remontee progressive du fleuve St-Laurent avec Quebec, Trois-Rivieres et Montreal (1608, 1634, 1643 respectivement).De ces origines modestes, la langue francaise s'etendra a travers le continent, de Terre-Neuve a La Louisiane, a 1'ouest des Grand Lacs, et eventuellement a rArctique, aux Montagnes Rocheuses et plus loin encore.Neanmoins, le point d'attache de la langue franijaise en Amerique du Nord, depuis le tout debut, a ete la vallee du St-Laurent et les terres adjacentes.Etablies d'abord pour profiter de la traite de fourrures, renforcees ensuite par le developpement de 1'agriculture et de 1'industrie locale, les premieres colonies recurent des imrnigrants de nombreuses regions de la France.On comprendra cependant que la majorite provenait des provinces maritimes de 1'ouest et du nord, augmentee par des representants de Paris et de l'Ile-de-France.Au dix-septieme siecle, la France elle-meme etait nettement moins homogene du point de vue linguistique qu'elle ne Test de nos jours et par consequent les colonialistes parlaient, des rarrivee, de nombreux dialectes ou patois divergents.Par centre, un des traits les plus frappants (et les plus enigmatiques) qui caracterise le frangais canadien de 1'epoque est le developpement rapide d'une variete canadienne commune,
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 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) | 0.061 | 0.009 |
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".