Mobilité et sédentarité : stratégies familiales en Nouvelle-France
Bibliographic record
Abstract
Les travaux récents sur la mobilité géographique en Nouvelle-France orientent l'attention du chercheur vers l'échelle individuelle du phénomène migratoire. Les facteurs de provenance locale ou régionale restent secondaires par rapport aux situations familiales et aux liens de parenté dans le processus initial de peuplement à partir de la France. L'essaimage de proche en proche dans la vallée du Saint-Laurent répond aussi, en partie, à des stratégies familiales visant à l'établissement des enfants en surnombre. Le modèle se reproduit au XVIIIe siècle dans l'établissement des Canadiens au pays des Illinois. À côté du mythe de l'aventure s'impose une autre facette du monde rural en Nouvelle-France : la mobilité de la sédentarité.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".