Long Time Overdue: An Examination of the Destructive Impacts of Policy and Legislation on Pregnant and Parenting Aboriginal Women and their Children
Bibliographic record
Abstract
Today, in Canada, Aboriginal peoples continue to experience marginalization, over representation in the child welfare system, and a higher prevalence of poverty and substance misuse challenges. These experiences affect for Aboriginal women in particular because of the oppressive experiences of systemic racism and discrimination they face, including legislation such as the Indian Act and the Child and Family Services Act, which directly targets them. This article is based on a research project conducted in Toronto, Ontario that implemented Aboriginal research methodologies to explore ways to increase collaboration between Aboriginal families, treatment counsellors, and child welfare workers. One significant theme that emerged out of this project was the concept of time as related to policy and legislation that negatively impact Aboriginal pregnant and/or parenting women. In this analysis, we focus on the concept of time as connected to four policy areas that emerged from the findings: historical trauma caused by discriminatory legislation, the family court system, the bureaucracy of child welfare, and the need for further research and long-term solutions.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".