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Record W4408095593 · doi:10.1111/cfs.13280

The Significance of Relationships in Black Youth's Narratives of Out‐of‐Home Care in Ontario's Child Welfare System

2025· article· en· W4408095593 on OpenAlexafffundabout
Andre Laylor, Travonne Edwards, K. A. Griffiths, Rasnat Chowdhury, Veronica Escobar Olivo, Henry Parada, Bryn King

Bibliographic record

VenueChild & Family Social Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWelfareNarrativeWelfare systemSociologyGender studiesPsychologyDevelopmental psychologyNursingMedicinePolitical scienceArt

Abstract

fetched live from OpenAlex

ABSTRACT For youth in the child welfare system, relationships can be a catalyst for change and resilience. Child welfare workers are responsible for caring for youth, ensuring their permanency, and—wherever possible—maintaining relationships between youth and their families. Unfortunately, not all youth feel supported during their time in out‐of‐home care (OOHC). For black youth, research has begun to document the challenges and disparities they face while in the child welfare system. Given the adversities that black youth and families face across the child welfare continuum, there is a need to investigate the interactions between child welfare workers and black youth. This study explores the narratives of 27 black youth with lived experience navigating OOHC in Ontario's child welfare system and their relationships with child welfare workers. Three main narratives emerged: 1) the impacts of worker instability and unavailability; 2) the need for transparency, safety, and youth voice in decision‐making; and 3) what relationships meant to black youth and how they can be strengthened. Recommendations include maintaining transparency and inclusion in decision‐making, addressing factors that impact workers' capacity to build meaningful relationships, training focused on the impacts of anti‐black racism, and supporting black youth in building relationships with their families.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes3
Has abstractyes

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