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Record W3000409366 · doi:10.1111/cfs.12730

Inclusive foster care: How foster parents support cultural and relational connections for Indigenous children

2020· article· en· W3000409366 on OpenAlexafffundabout
Carolyn Oliver

Bibliographic record

VenueChild & Family Social Work · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsVancouver Native Health SocietyChild and Family Research Institute
FundersVancouver Foundation
KeywordsIndigenousFoster careFoster parentsThematic analysisSocial connectednessNursingSociologyPsychologyMedicineSocial psychologyQualitative researchSocial science

Abstract

fetched live from OpenAlex

Abstract How do foster parents support the relational and cultural connections of Indigenous children in care? The answer matters; the well‐being of Indigenous children depends on these connections. At one of Canada's largest Indigenous child welfare agencies, we implemented inclusive foster care, an approach requiring foster parents to engage with the family, community, and cultural life of the child for whom they care. Fifteen years later, we present findings from a thematic analysis of interviews with 13 foster parents who participated in a mixed methods study exploring inclusive foster care. We discuss foster parent strategies to support the child's family relationships: setting clear boundaries, rolling with inconsistency, and understanding the family's (hi)stories. Strategies to strengthen cultural connectedness include visiting traditional territory, using personal initiative and Indigenous knowledge, and engaging in school‐based and “multi‐purpose” cultural opportunities. Drawing on foster parent stories of success, we propose ways for social workers, foster parents, and policymakers to address the cultural and relational disruption that characterizes the experience of Indigenous children in care in colonial settler societies.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.996

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 studies0.0190.000
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 head0.029
GPT teacher head0.302
Teacher spread0.273 · 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

Citations11
Published2020
Admission routes3
Has abstractyes

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