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Record W2333670873 · doi:10.1300/j500v05n01_02

Roma Refugees

2007· article· en· W2333670873 on OpenAlexaffabout
Christine A. Walsh, Brigette Krieg

Bibliographic record

VenueJournal of Immigrant & Refugee Studies · 2007
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRefugeeFocus groupSocial WelfareImmigrationWelfareSettlement (finance)Social workPopulationSociologyCommunity serviceService providerService (business)Economic growthPublic relationsPolitical scienceBusinessDemography

Abstract

fetched live from OpenAlex

Since 1999, there has been increasing settlement in Hamilton, Ontario, Canada, of large numbers of Roma families from Hungary, seeking refugee status. A number of agencies across health, social welfare services, education, immigration, child welfare, and justice sectors were concerned about the apparent difficulties members of the Roma community were experiencing within these systems and the ability of these systems to provide effective services to the Roma community. The goal of the Roma Project was to identify the needs of the Roma community across health and social service domains and to promote a deeper understanding of Roma people and their culture in addressing those needs of the Roma population. Focus group and key informant interviews were conducted with members of the Roma community (n = 24) and service providers (n = 62) in order to develop recommendations for effective and culturally appropriate services.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.003

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 head0.063
GPT teacher head0.473
Teacher spread0.410 · 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

Citations5
Published2007
Admission routes2
Has abstractyes

Explore more

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