CANADA : LES MUTATIONS D'UNE POPULATION CROISSANTE [Canada: Mutations of a growing population]
Bibliographic record
Abstract
French Abstract: La population du Canada s’accroit de facon constante au fil des differents recen-sements quinquennaux de ce pays. Cette croissance demographique est portee par une immigration en pleine mutation compte tenu de la diversification des pays d’origine. La geographie du peuplement du Canada se transforme, tandis que les langues maternelles se diversifient. Une autre mutation tient a l’effet de ciseau in-tervenu dans l’armature urbaine, Toronto ayant depasse et largement supplante Montreal au premier rang des metropoles canadiennes.English Abstract: Canada's population is growing steadily over different quinquennial censuses of this country. This population growth is driven by immigration changing due to the diversification of countries of origin. The settlement geography of Canada is changing, while the native languages diversify. Another mutation is due to the squeeze intervened in the urban framework, Toronto had surpassed Montreal and largely supplanted the leading Canadian cities.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".