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Record W2169338405 · doi:10.7202/039989ar

Une analyse provinciale de la migration de remplacement au Canada

2010· article· fr· W2169338405 on OpenAlexaffvenueabout
Alain Bélanger

Bibliographic record

VenueCahiers québécois de démographie · 2010
Typearticle
Languagefr
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPolitical scienceImmigrationHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’étude des Nations unies (2000) intitulée « Replacement migrations : Is it a solution to declining and aging population ? » montre que l’immigration à elle seule ne saurait être une solution viable au vieillissement démographique. La situation démographique canadienne diffère de celles des pays analysés dans le rapport des Nations unies, notamment par son taux d’immigration parmi les plus élevés au monde. Contrairement aux idées reçues, les taux actuels d’immigration sont amplement suffisants pour assurer le maintien de la population canadienne et même de sa population en âge de travailler à des niveaux supérieurs à ceux observés actuellement à court, moyen et même long terme. Par contre, compte tenu de la concentration spatiale des immigrants à leur arrivée, une analyse des conséquences démographiques de l’immigration de remplacement au niveau provincial montre qu’une répartition plus égale des immigrants sur le territoire pourrait s’avérer plus efficace qu’une simple hausse des niveaux d’immigration.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.324
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2010
Admission routes3
Has abstractyes

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