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Record W1503343258 · doi:10.1111/ijsw.12110

Refugee community organizations in<scp>C</scp>anada: From the margins to the mainstream? A challenge and opportunity for social workers

2014· article· en· W1503343258 on OpenAlexaffabout
Marie Lacroix, Michael Baffoe, Marilena Liguori

Bibliographic record

VenueInternational Journal of Social Welfare · 2014
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversity of ManitobaUniversité de Montréal
Fundersnot available
KeywordsRefugeeMainstreamEthnic groupImmigrationContext (archaeology)Public relationsSociologyCommunity organizationPolitical scienceSocial workGender studiesLaw

Abstract

fetched live from OpenAlex

Various waves of asylum seekers and resettled refugees arriving in C anada since the 1980s reflect the eruption of war and ethnic conflicts in parts of A frica, Central A merica, and S outh E ast A sia. Contrary to long‐established immigrant communities such as the G reeks, I talians, and P ortuguese, these newcomers have had to fend for themselves and develop their own support networks, leading to new forms of organizing and to the formation of refugee community organizations ( RCO s). This article discusses the findings of a 2008–2011 study on RCO s in C anada, specifically in M ontréal and Winnipeg. The objective of the study was to understand the context in which RCO s have developed, the populations they serve, and the role they play in their ethnic communities. Working within the RCO paradigm, we analyze the creation of these organizations, contrast findings with research done in the UK , and raise issues for social work practice. Key Practitioner Message: ● Innovative research in Canada documenting refugee community organizations gives fresh insight regarding community organizing practice; ● Documents the situation of asylum seekers and refugees on an individual and a collective basis in terms of needs; ● Focuses on the necessity of building bridges with refugee organizations to bring them into the mainstream .

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.332
Teacher spread0.297 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations45
Published2014
Admission routes2
Has abstractyes

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