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Record W2567176440 · doi:10.25071/1920-7336.40302

“They didn’t treat me as a Gypsy”: Romani Refugees in Toronto

2016· article· en· W2567176440 on OpenAlexaffvenueabout
Cynthia Levine‐Rasky

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2016
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsRefugeeBelongingnessSettlement (finance)Agency (philosophy)Political scienceCriminologyMeaning (existential)Government (linguistics)RelocationSociologyGender studiesPolitical economyLawSocial psychologyPsychologySocial science

Abstract

fetched live from OpenAlex

With organized hate crime and institutionalized discrimination, thousands of European Roma have fled to Canada, where they claim refugee status. Their arrival coincided with far-ranging reforms to the refugee determination system in 2012–13 in addition to some actions aimed specifically at the Roma. Against this backdrop, former and current Romani refugee claimants substantiate the experience of migration and settlement, beginning with the first moments after arrival, to the tasks of finding housing and work. Agency and resilience are evinced, despite the government’s multiple instruments used against asylum-seekers. Romani refugees’ lives show how, for transnational groups, belongingness is always contested and the meaning of home is always nuanced.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0380.015
Scholarly communication0.0060.003
Open science0.0020.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.369
Teacher spread0.349 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2016
Admission routes3
Has abstractyes

Explore more

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