“We’re Not Being Treated Like Mothers”: Listening to the Stories of First Nations Mothers in Prison
Bibliographic record
Abstract
This article is based on research with over 160 First Nations women in prisons in New South Wales, Australia. The research identified the lived experience of prison sentences for First Nations women in prison. Our research methodology was guided by an Aboriginal women’s advisory body called sista2sista. It was based on the principles of Dadirri in which we listened to the stories of First Nations women in prison on their terms. Consequently, many stories we heard were not about the criminal sentencing process itself, but about the impacts of imprisonment on their capacity to be caregivers in the community, including as mothers, grandmothers, aunts, sisters, teachers and role models. The findings from this research are dual. First, the importance of listening to and empowering First Nations women in prison in policy making that concerns First Nations women. Second, the need to decarcerate First Nations mothers and listen and respond to their needs, expectations, priorities and aspirations, to ensure they are supported in fulfilling their role and responsibility to care, nurture, strengthen and lead their families and communities.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".