MétaCan
Menu
Back to cohort
Record W4413057327 · doi:10.1177/11771801251356077

Developments and challenges implementing Bill C-92 in Canada: a critical rapid review

2025· article· en· W4413057327 on OpenAlexafffundabout
Karine Croteau, Ashley Quinn, Barbara Jablonska, Mireille De La Sablonnière-Griffin

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueInstitut National de la Recherche ScientifiqueUniversity of TorontoUniversity of Ottawa
FundersIndigenous Services CanadaGovernment of CanadaWilfrid Laurier UniversityMcGill University
KeywordsIndigenousLegislationJurisdictionAccountabilityPrincipal (computer security)Context (archaeology)Political sciencePublic administrationSovereigntyWelfareLawEconomic growthGeography

Abstract

fetched live from OpenAlex

Based on a critical rapid review, this article examines the developments and limitations of implementing An Act Respecting First Nations, Inuit and Métis Children, Youth and Families, S.C. 2019 (CAN) (Bill C-92) in Canada and among Indigenous communities in Ontario. Despite progress made by First Nations communities reclaiming sovereignty over child and family services since Bill C-92 became law on January 1, 2020, many challenges related to national standards, jurisdiction, funding, accountability, and data collection remain. Findings related to the history of child welfare services for Indigenous Peoples in Ontario, the context of legislation and implementation of Bill C-92, and the principal limitations of implementing Bill C-92 are presented. This review revealed limited results of studies completed in the province of Ontario. While Bill C-92 is a step towards addressing the systemic discrimination of Indigenous Peoples, there are still significant challenges to be addressed that ensure its effective implementation.

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)0.037
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.111
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0150.016
Science and technology studies0.0050.006
Scholarly communication0.0080.003
Open science0.0040.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.369
Teacher spread0.326 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueAlterNative An International Journal of Indigenous PeoplesSame topicIndigenous Health, Education, and RightsFrench-language works237,207