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Record W2014370344 · doi:10.1111/imig.12116

Sudanese and Somali Refugees in Canada: Social Support Needs and Preferences

2013· article· en· W2014370344 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration · 2013
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of AlbertaWilfrid Laurier UniversityAlberta Health Services
Fundersnot available
KeywordsSomaliRefugeeSocial supportPsychological interventionIntervention (counseling)PsychologyEconomic growthSocioeconomicsPolitical scienceNursingSociologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Abstract The aim of the study was to identify the unique support needs and preferences of African refugees in Canada. In‐depth interviews were conducted with Sudanese and Somali refugees (n=68) living in two cities in central and western Canada. Refugees were interviewed individually to identify their support needs, current sources of support, available support programmes, barriers to access to support resources, and preferred support interventions. These refugees reported major support needs, depleted social networks, and barriers to accessing services and supports. They identified distinct preferences for support from peers from the same country of origin and professionals. Participants wanted group‐level support supplemented by one‐to‐one support. Transportation, child care, meals, and peers matched by language and gender were recommended to enhance accessibility to support programmes. These findings can inform the design of support intervention research and enhance the relevance and supportiveness of services and programmes for recent refugees.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.018
GPT teacher head0.300
Teacher spread0.282 · 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