“We all grow up with our mob because it takes all of us”: First Nations collective kinship in Australia
Bibliographic record
Abstract
• Being raised by and within ones' First Nations community, among one's mob and fully immersed in culture, is a fundamental part of the First Nations being. • Shifting towards systemic transformation through increased First Nations self-determination and control of OOHC systems and placements. • The Minintitja Care Model is an example of the power and promise that First Nations self-determination holds to deliever improved outcomes and accountability. • A Funddamental redesigning of OOHC services are delivered to First Nations children in Australia by drawing on First NAtions knowledges, traditions and values. Being raised by and within ones’ First Nations community, among one’s mob and fully immersed in culture, is a fundamental part of First Nations being. This is an aspect of First Nations being that has been disrupted through colonial practices targeting First Nations families, such as the Stolen Generations where 10–30% of all First Nations children were forcibly removed from their families in the twentieth century. It also continues in the contemporary through statutory child removals in Australia, where the continued overrepresentation of First Nations children in Australian child protection and OOHC systems has resulted in community concerns of another Stolen Generations. Shifting towards systemic transformation through increased First Nations self-determination and control of OOHC systems, this article describes an innovative model of kinship care, the ‘Minintitja Care Model’, that one First Nations community designed and delivered in rural New South Wales, Australia. The Minintitja Care Model is an example of the power and promise that First Nations self-determination holds to deliver improved outcomes for First Nations children in OOHC in Australia. We argue that it evidences the importance of fundamentally redesigning how OOHC services are delivered to First Nations children in Australia by drawing on First Nations knowledge, tradition and value. Yet redesigning a system that was not built for the benefit of First Nations children and families requires more than reform: it requires the bravery to envision new possibilities by drawing on ancient wisdom. This, we contend, is aligned with the tenets of abolition, as applied from a First Nations standpoint.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".