Navigating the Tightrope: Immigrant Perspectives on State Policies Balancing National Interest and Humanitarian Imperatives
Bibliographic record
Abstract
Immigration policies are a complex balancing act between national interests (security, economy, culture) and ethical considerations (protecting vulnerable populations, upholding human rights). This research explores this dynamic from the perspective of immigrants in their new homelands. By examining their experiences and challenges, the study provides insights into these competing priorities and proposes solutions for more equitable immigration systems. Through case studies of Canada and the United Kingdom, the research investigates how immigrants, regardless of legal status, perceive the balance between a host country's rights, security concerns, economic interests, and its duty to protect vulnerable groups like refugees and economic migrants. The study reveals the direct impact of current policies on immigrants' lives, sense of belonging, and trust in government. It underscores the critical need for inclusive policymaking that incorporates immigrants' voices, fostering ethically sound systems that effectively balance national interests with humanitarian responsibilities.
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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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.034 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".