“She’s Always Been a Fighter for Me”: Indigenous Mothers as Advocates and Defenders of Their LGBTIQSB + Children
Bibliographic record
Abstract
There is no research into the experiences of Indigenous LGBTIQSB + young people and their mothers in the country now known as Australia. Based on a series of nine narrative interviews with young LGBTIQSB + people living in New South Wales, this article is the first to discuss Indigenous LGBTIQSB + children’s relationship with their Indigenous mothers. Indigenous mothers have been framed in ways that justified targeted settler state interventions situated within broader racialised biopolitical governance practices and the regulation of Indigenous lives. The findings of this research project provide a counter narrative to the current framing of Indigenous mothers and families as dysfunctional and in need of intervention by state and welfare agencies. Indigenous LGBTIQSB + young people speak to their experiences of coming out and the ways their Indigenous mothers defended, affirmed and advocated for them. Participants spoke of how Indigenous mothers provided them with protective skills and strategies that allowed them to effectively navigate close and extended familial and community contexts. This article demonstrates the significance of Indigenous mothering practices and values for the wellbeing of their LGBTIQSB + children.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| 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".