Experiences of Indigenous mothers with the child welfare system at the birth of their child
Bibliographic record
Abstract
The topic of Indigenous women’s experiences with the Ministry of Children and Family Development (MCFD) at the birth of their child is one that falls through the gaps of current literature. This thesis is focused on identifying the experiences of Indigenous women when MCFD intervenes at the birth of their child; the purpose is to gain insight into the strengths and weaknesses of child welfare interventions. I interviewed five Indigenous women using an interpretive description approach and analyzed the data using constant comparative analysis as well as conventional content analysis techniques. The findings highlighted the impact of child welfare involvement that included: powerful emotions, trust, communication and dismantled families; a structural power imbalance characterized as feeling powerless, being watched and judged, and jumping through hoops; addiction; socioeconomic struggles that included young mothers and homelessness, poverty, and neglect; missed preventative opportunities; the role of advocacy; identity and culture; and bonding. In conclusion, child welfare practice needs to include opportunities for preventative measures and planning to optimize support and communication with Indigenous pregnant women and mothers.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".