Immigration Policy in Free Societies: Are There Principles Involved or Is It All Politics?
Bibliographic record
Abstract
[Excerpt] Free societies with industrialized economies such as Canada and the United States are characterized by certain unique features. Among these is the fact that they both allow their citizens to come and go across their borders with few restrictions and they annually permit millions of noncitizens to travel, to conduct business, to visit, and to study in their countries with only minimal regulation. Both nations also allow some non-citizens to enter their countries and to work in competition with their citizen work-force for temporary periods under specific conditions. Furthermore, they regularly allow a generous number of non-citizens to immigrate or to take refuge as permanent residents and eventually to become citizens. It is primarily these latter situations, where work and residence issues arise, that pose the question whether years of experience have generated any principles that can guide policy makers when debates re-surface? Or, is it always simply a matter of political power and special interests at the moment that determine immigration policy on an ad-hoc basis?
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".