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Record W2102762447 · doi:10.60082/2817-5069.2955

No Refuge: Hungarian Romani Refugee Claimants in Canada

2016· article· en· W2102762447 on OpenAlex
Sean Rehaag, Julianna Beaudoin, Jennifer Danch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOsgoode Hall law journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsWestern UniversityYork University
Fundersnot available
KeywordsRefugeePersecutionContext (archaeology)Political sciencePolitical rhetoricPoliticsRhetoricCriminologyLawSociologyGender studiesHistoryTheologyArchaeology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.038
GPT teacher head0.370
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it