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Record W7096756276

EXAMINING SOCIAL WORK AS A CANADIAN SETTLER COLONIAL PROJECT 1 CAOS: The Journal of Critical Anti-Oppressive Social Inquiry 2014, Volume 1 Examining Social Work as a Canadian Settler Colonial Project: Colonial Continuities of Circles of Reform, Civilizat

2016· article· en· W7096756276 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsRacializationColonialismSocial workScholarshipMainstreamSocial changeNarrativeSocial order
DOInot available

Abstract

fetched live from OpenAlex

This article aims to challenge dominant narratives found within both mainstream and anti-oppressive scholarship about the historical origins of social work by exploring the crucial role of race and racialization in the development and maintenance of the social work profession. Mapping out the shifting ways in which the social work profession actively participated in the construction of colour lines to enforce and reinforce the dominant imagery of the valorized Canadian subject reveals simultaneous social processes we call circles of reform, civilization, and in/visibility. Through a critical race feminist theoretical framework, we explore the complex ways in which these circles allowed leading social workers to promote the social work profession as an important colonial mechanism for the consolidation of Canada as a white settler society. We conclude by critically reflecting upon the possible colonial continuities of these circles and the implications for current anti-oppressive social work practice. Key words: history of social work; charity and settlement house movements; anti-oppressive practice (AOP); race and racialization

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0600.067
Scholarly communication0.0150.003
Open science0.0020.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.075
GPT teacher head0.365
Teacher spread0.290 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2016
Admission routes1
Has abstractyes

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