Stationary population, immigration, social cohesion, and national identity: What are the links and the policy implications? With special attention to Canada: A demographer’s point of view
Bibliographic record
Abstract
In recent years, this author has devoted some of his research to the question of stationary population as a policy vision for Canada and beyond. The focus was largely economics and ecology. The virtue of the stationary population, it was argued, is that it cut across ecologists’ long-term concerns and economists’ short-term concerns. The present paper, while reiterating some of the same economic arguments, addresses stationary population as a policy option from the point of view of national identity and social cohesion. To this end, it explores the policy and ideological dimensions of multiculturalism in Canada. It also examines immigration trends in Canada and Western Europe, and makes some incursions into the history of how cosmopolitan states have fared. The paper’s conclusion is that stationary population is optimal in terms of national identity and social cohesion. Ces dernières années, l’auteur a consacré certaines de ses recherches à la question de la population stationnaire au Canada et ailleurs dans le monde. L’optique en a été économique et écologique. La vertu de la population stationnaire, il a été soutenu, réside dans le fait qu’elle réponde aux préoccupations tant à long terme des écologistes qu’à court terme des économistes. Tout en réitérant ces préoccupations, la présente étude examine les attributs de la population stationnaires du point de vue de l’identité nationale et de la cohésion sociale. Dans ce but, l’étude explore les dimensions du multiculturalisme au Canada. Sont également examinés les courants migratoires au Canada et dans les pays occidentaux, tout en faisant des incursions dans l’histoire des sociétés cosmopolites, leurs réussites et leurs échecs. La conclusion de la présente étude est que la population stationnaire est optimale des points de vue de l’identité nationale et de la cohésion sociale.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.019 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".