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Record W4387532920 · doi:10.1177/14680173231197988

Colonial constructions: Systemic racism in child welfare practice

2023· article· en· W4387532920 on OpenAlexaboutno aff
Shelagh Roxburgh, Megan Sinclair

Bibliographic record

VenueJournal of Social Work · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismWelfareRacismGender studiesSociologyNarrativeCriminologyHistorical traumaPolitical scienceMedicineLawNursing

Abstract

fetched live from OpenAlex

Summary Drawing on historical constructions of Indigenous peoples, this paper analyses the continued impact of settler discourses of Indigenous families, parenting, and children on child welfare policy in Canada today. Findings In this work, two provincial children's Advocate reports on the deaths of Indigenous children in care, Tina Fontaine and Alex Gervais, are critically assessed in order to explore the processes through which these colonial constructions operate to create adverse outcomes for Indigenous people. Through this analysis, a number of contemporary colonial narratives are made visible, including the belief that Indigenous parents are inherently incapable of caring for their children, and the gendered construction of Indigenous men and boys as criminal and deviant and Indigenous girls as sexually exploitable. Application These findings suggest that greater critical reflection is needed when working with Indigenous peoples, including greater awareness of the ongoing impact of settler colonialism and the necessity of engaging in anti-colonial 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 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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.558

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0250.046
Scholarly communication0.0070.002
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.326
Teacher spread0.314 · 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.

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

Citations6
Published2023
Admission routes1
Has abstractyes

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