Canadian Immigration Policy for the 21st Century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since 9/11 there have been many changes to the external environment of immigration, a number of criticisms of current immigration policy in Canada, and several proposals for dealing with current labour market needs and settlement patterns of immigrants to Canada. In Canadian Immigration Policy for the 21st Century authors examine the issues raised by these concerns.The topics covered include international context and immigration policy goals, the role of immigration in meeting Canada's demographic and labour market needs, decentralization of immigration policy with special focus on the Quebec perspective and the recent Manitoba experience, policy responses to increasing international labour mobility, immigration data resources in Canada, the changing immigrant experience in the labour market including issues of skill recognition and the effects of business cycles on labour market integration, and social inclusion of immigrants, including the health of immigrant children and visible minority enclaves in major cities.The contributors include: Michael Abbott (Queen's University), Naomi Alboim (Queen's University), Roderic Beaujot (University of Western Ontario), David Card (University of California at Berkeley), Barry Chiswick (University of Illinois at Chicago), Gerry Clement (Manitoba Labour and Immigration Department), Don DeVoretz (Simon Fraser University), Erwin Diewert (University of British Columbia), Victoria Esses (University of Western Ontario), Alan Green (Queen's University), Gilles Grenier (University of Ottawa), and, Violet Kaspar (University of Toronto). It also includes: Ted McDonald (University of New Brunswick), Alice Nakamura (University of Alberta), Masao Nakamura (University of British Columbia), Doug Norris (Statistics Canada), Garnett Picott (Statistics Canada), Jeffrey Reitz (University of Toronto), Craig Riddell (University of British Columbia), Janice Stein (University of Toronto), Arthur Sweetman (Queen's University), Yvan Turcotte (Ministere des Relations avec les Citoyens et de l'Immigration), and Chris Worswick (Carleton University).
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it