Systematic review of health and social outcomes among Indigenous People exposed to the child welfare system: a protocol
Bibliographic record
Abstract
INTRODUCTION: The link between parent-child separation through child welfare systems and negative health and social outcomes is well documented. In contrast, despite the over-representation of Indigenous children and youth in child welfare systems, the relationship between child welfare system involvement and health and social outcomes among Indigenous populations has not been systematically reviewed. Our objective is to assess whether Indigenous People who have been exposed to a child welfare system personally or intergenerationally (ie, parents and/or grandparents) within Canada, Australia, New Zealand and the USA (CANZUS countries) and the circumpolar region are at an increased risk for negative health and social outcomes compared with other exposed and non-exposed groups. METHODS AND ANALYSIS: We will undertake a comprehensive exploration of literature documenting health and social outcomes for Indigenous individuals with personal or intergenerational exposure to a child welfare system. The search will encompass nine databases, including Ovid MEDLINE, APA PsycINFO, Bibliography of Native North Americans, CINAHL, EMBASE, Public Affairs Index, Scopus, Social Work Abstracts and Sociological Abstracts. Additionally, reference lists of included studies will be examined. The literature search will include studies up to 4 October 2024 and will adhere to Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Findings will be presented in summary tables through narrative synthesis, and if feasible, a meta-analysis will quantify the impact of child welfare exposure on health and social outcomes. ETHICS AND DISSEMINATION: The results of this systematic review will synthesise current evidence regarding health and social outcomes related to personal and intergenerational child welfare exposure among Indigenous populations in CANZUS countries and circumpolar regions. This information could help support future policy and practice decision-making. Findings will be widely disseminated through peer-review publications and community presentations aimed at various interested parties, including policymakers, professional practitioners and clinicians, and service users (ie, clients, family members, caregivers). PROSPERO REGISTRATION NUMBER: CRD42023434543.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.087 | 0.091 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.017 | 0.012 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.071 | 0.011 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".