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Record W2917962772 · doi:10.1111/ijsw.12379

Shaping Canadian citizens: A historical study of Canadian multiculturalism and social work during the period from 1900 to 1999

2019· article· en· W2917962772 on OpenAlexaffabout
Marjorie Johnstone, Eunjung Lee

Bibliographic record

VenueInternational Journal of Social Welfare · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of TorontoDalhousie University
Fundersnot available
KeywordsMulticulturalismInjusticeSociologySocial workGender studiesProfessionalizationIdentity (music)PridePolitical scienceSocial scienceLawAesthetics

Abstract

fetched live from OpenAlex

Canadian multiculturalism is a source of national pride and Canada’s national identity. Despite this, the marginalization of migrants, Indigenous, and non‐White Canadians has persisted while (re)constructing Canadian citizens and nationhood. Using a Foucauldian genealogical approach, we explored how the social work profession has addressed this paradox around shifting Canadian national identities and multiculturalism while developing its professionalization across various historical junctures in the 20th century. Our findings reveal that, since its inception, the social work profession has negotiated with dominant discourses. In the collective response as a profession, the omission of attention and subsequent inaction to exclusion and marginalization is apparent. However, through the construction of counter discourses, individual social workers’ resistance to social injustice has been noteworthy. Identifying and documenting these counter discourses across significant historical periods thus contributes to rewriting Canadian social work history that reinvigorates our social work core values of justice and respect for all. Key Practitioner Message: • The study provides a critical analysis of the history of Canadian Social Work practice in relation to multiculturalism; • It can be used for pedagogical purposes (critical discussion and evaluation); • It raises awareness of historical social work blind spots.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.032
GPT teacher head0.312
Teacher spread0.279 · 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 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

Citations13
Published2019
Admission routes2
Has abstractyes

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