Sounding the Alarm: Are Australia’s First Nations Women battling a second wave of cultural genocide as ‘birth” units close in traditional homelands?
Bibliographic record
Abstract
A close reading of the literature from Australia and internationally has disclosed an alarming, standardized practice of “closure” of birthing units in rural and remote communities. As a result, the forced relocation of women from their rural communities to birth in a centralized hospital particularly disadvantages First Nation’s Women. Being born ‘off country’ has the potential to disconnect women from their culture, traditions and family. “Closure” of birthing units has left a gap in the provision of equitable maternity care and highlights the lack of services and choice regarding models of care in regional and rural areas. The loss of maternity services in rural communities has a strong impact on the fabric of rural communities.. Rural birthing closures have led to the transfer of women from their local communities to give birth in regional hospitals, isolated from kin and clan. This project documents the political and social ramifications of the closure of a rural maternity service in a country area of New South Wales, Australia \nWomen’s stories have been depicted through painting using the language of symbols relevant to First Nations people. Where it was possible, the painting has been translated by the artist to help the reader who is unfamiliar with Aboriginal art symbols to gain a better understanding of the problem. Field notes, letters and press cuttings have been included at the end to document the closure from the standpoint of the Local Health District, The Shire Council and the women themselves. \nThe thesis is dedicated to the real warriors. The “Ngiyampaa – Ngemba” women Elders. To honour their ancestral heritage, cultural life, Dreaming birth song lines, and their ongoing battle in combating a second wave of cultural genocide. As ‘birth” units close in traditional homelands.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".