No Refuge: Hungarian Romani Refugee Claimants in Canada
Bibliographic record
Abstract
From 2008 to 2012, thousands of Hungarian Roma sought asylum in Canada. Some political actors suggested that their claims were unfounded and demonstrated that Canada’s refugee processes were vulnerable to abuse. In contrast, advocates for refugees argued that persecution against Roma was rampant in Hungary and noted that hundreds of Hungarian Roma were granted refugee status in Canada. Much of this debate has occurred in an evidentiary vacuum. This article fills this vacuum through a qualitative and quantitative study of Hungarian Romani refugee claims. First, the context of the study is discussed. Then, the article explores the experiences of Hungarian Roma within Canada’s refugee determination system between 2008 and 2012. The article ends with concluding remarks, focusing on particularly troubling findings from the study, including the impact of anti-refugee rhetoric, institutional bias, inconsistent decision making, and problems related to quality of counsel.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.053 | 0.019 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".