Destination : Montréal. L’étude de l’émigration en provenance de Casacalenda (Molise)
Bibliographic record
Abstract
Montréal est-elle aussi importante sur la carte de l'immigration en provenance du Molise (Italie), et plus particulièrement de Casacalenda, que le Molise et Casacalenda semblent l'être sur celle de l'immigration italienne à Montréal? Alors que la majorité des recherches antérieures ont étudié cette question à partir de données agrégées, l'auteure l'aborde ici au moyen des registres de passeports et des listes de conscription, deux sources négligées jusqu'à ce jour aussi bien par les historiens que par les démographes. Ces sources permettent de caractériser les mouvements migratoires de façon beaucoup plus fine et de mettre en évidence l'importance des migrations multiples, souvent mentionnées mais jamais estimées. Il en résulte une meilleure connaissance de l'intensité de la migration en provenance de Casacalenda; de l'importance relative du Canada, et plus particulièrement de Montréal, comme lieu de destination des migrants; et de l'existence de deux « univers » de migration relativement distincts pour les hommes et pour les femmes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.073 | 0.004 |
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".