Centering a Métis grandmothers’ knowledge: story of grandmothers’ teachings and Métis child welfare in B.C.
Bibliographic record
Abstract
Despite decades of evidence in Canada of injustices involving child welfare systems and outstanding recommendations, the overrepresentation and harm to Indigenous children, youth, and families remain (Blackstock, 2011, 2016). The literature reveals a need to build on Métis-focused research related to child welfare systems including noticeable gaps in the voices and knowledge of Métis grandmothers and mothers. This thesis centers on a Métis grandmother's story and my own experiences as a Métis social worker in relation to child welfare experiences within the framework of Métis kinship care and mothering. Through storytelling and autoethnography, I addressed the following research question: How can the lived experiences and teachings of a Métis grandmother and Métis women enhance social work practices for social workers, community members, as well as organizations and agencies that serve Métis children and families? Significantly the findings in this study reveal the ways that Métis grandmothers and mothers carry inherent knowledge about child, family, and community care, utilize resistance strategies in their experiences with child welfare, and explore the social work implications that can disrupt colonial systems to inform agency and community responses.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.019 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".