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Record W4389572797 · doi:10.1080/15313204.2023.2291663

“Unless we are Native, we are all immigrants to Canada”: Tensions between multicultural inclusion and settler-colonial consciousness among Canadian social workers

2023· article· en· W4389572797 on OpenAlexaffabout
Rupaleem Bhuyan, Sandra Osazuwa, Jill Hanley, Catherine Schmidt, Yoosun Park

Bibliographic record

VenueJournal of Ethnic & Cultural Diversity in Social Work · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsInclusion (mineral)MulticulturalismIndigenousImmigrationSociologyDiversity (politics)Social workGender studiesColonialismEthnic groupIdentity (music)Political scienceAnthropologyPedagogyLaw

Abstract

fetched live from OpenAlex

This paper presents a discourse analysis of how social work values, knowledge, and attitudes toward immigrants are represented in 173 open-ended responses to a national survey (n = 1125) of Canadian social workers attitudes toward immigrants. Through discourse analysis of social workers’ commentary, we discuss notable tensions between social workers’ affinity for multicultural inclusion and their critiques of Canadian settler-colonialism. While respondents broadly emphasize “respect for diversity” and the need to advocate for immigrants as expressions of their Canadian and social work identity, some suggest that inequalities facing Indigenous communities should be addressed before Canada continues to increase its investment in immigration. We consider how dichotomizing concerns for Indigenous and immigrant communities reflect the limits of multicultural inclusion and the need to further decolonize social work education and practice. Paper to be submitted to Journal of Ethnic and Cultural Diversity in Social Work

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0110.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.101
GPT teacher head0.372
Teacher spread0.271 · 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.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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