Bibliographic record
Abstract
Why do decision-makers in similar liberal democracies interpret the same legal definition in very different ways? International law provides states with a common definition of a refugee as well as guidelines outlining how asylum claims should be decided. Yet, the processes by which countries determine who should be granted refugee status look strikingly different, even across nations with many political, cultural, geographical, and institutional commonalities. This book compares the refugee status determination (RSD) regimes of three popular asylum seeker destinations – the United States, Canada, and Australia. Despite similarly high levels of political resistance to accepting asylum seekers across these three states, once asylum seekers cross their borders, they access three very different systems. These differences are significant both in terms of asylum seekers’ experience of the process and in terms of their likelihood of being found to be a refugee. The book draws from a multi-method analysis of all three countries, including a year of fieldwork with in-depth interviews of policy-makers and asylum-seeker advocates, observations of refugee status determination hearings, and a large-scale case analysis. It concludes that cross-national differences have less to do with political debates over admission and border control policy than with the level of insulation the administrative decision-making agency enjoys from either political interference or judicial review. Administrative justice is conceptualized and organized differently in every state, and so states vary in how they draw the line between refugee and non-refugee.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.030 | 0.011 |
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".