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Record W2763479685 · doi:10.18584/iipj.2017.8.3.6

Navigating Structural Violence with Indigenous Families: The Contested Terrain of Early Childhood Intervention and the Child Welfare System in Canada

2017· article· en· W2763479685 on OpenAlexaffvenueabout
Alison Gerlach, Annette J. Browne, Vandna Sinha, Diana B. Elliott

Bibliographic record

VenueInternational Indigenous Policy Journal · 2017
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcGill UniversityUniversity of British ColumbiaUniversity of Northern British Columbia
Fundersnot available
KeywordsIndigenousWelfareContext (archaeology)Child protectionIntervention (counseling)FeelingWelfare systemSociologyEconomic growthDevelopmental psychologyPolitical sciencePsychologySocial psychologyMedicineNursingGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

Internationally, the welfare of Indigenous children continues to be severely compromised by their involvement with child welfare authorities. In this context, there are calls for greater investment in early childhood programs to support family preservation and children’s well-being. This article reports on the findings from a critical qualitative inquiry undertaken with Aboriginal Infant Development Programs (AIDPs) in Canada. The findings highlight how AIDP workers’ relational approaches countered Indigenous mothers’ experiences of feeling "like a bad parent" as a result of their involvement with the child welfare system and how workers navigated an increasingly close relationship with this system. We draw on the concept of structural violence to discuss the impact of the child welfare system on Indigenous families and AIDPs.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
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
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.287
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 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

Citations29
Published2017
Admission routes3
Has abstractyes

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