Bibliographic record
Abstract
This volume engages human rights, domestic immigration law, refugee policy in the United States, Canada, and Europe, and scholarship to examine forced migration, refugee resettlement, asylum seeker experiences, policies and programs for refugee well-being in North America and Europe. Given the recent "re-politicization" of forced migration and refugees in Europe and the U.S., this edited collection presents an in-depth, multi-dimensional analysis of the history of policies and laws related to the status of refugees and asylum seekers in the U.S., Canada, and Europe and the challenges and prospects of refugee and asylum seeker assistance and integration in the 21st century. The book provides rich insights on institutional perspectives critical to understanding the politics and practices of refugee resettlement and the asylum process in the U.S., Canada, and Europe, including international human rights and humanitarian law as well as domestic laws and policies related to forced migrants. Issues addressed include social welfare supports for resettled refugees; culturally responsive health and mental health approaches to working with refugees and asylum seekers; systemic failures in the asylum processing systems; and rights-based approaches to working with forced migrant children. The book also examines policy developments and strategies to advance the well-being and social inclusion of refugees in the U.S. and Europe.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.008 |
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".