Bibliographic record
Abstract
Based on a national analysis of Indigenous family violence, the 2001 monograph on ‘Violence in Indigenous Communities’ by the author and his colleagues for the Australian Attorney-General's Department called for government agencies to ‘take a regional approach to supporting and co-ordinating local community initiatives’ together with ‘partnerships between Indigenous program personnel and mainstream services...’ (Memmott et al., 2001, p. 4). This current article reports on regional aspects of two subsequent pieces of research by the author, one in the Barkly Region of central-east Northern Territory for Anyinginyi Health Aboriginal Corporation (2007) and the other in the Torres Strait for the Queensland Department of Communities (2008). The research findings from both of these studies develop the case for government policy to accommodate regional approaches to Indigenous family violence due to combinations of geographic and culturally specific causal factors. The importance of nurturing social and cultural capital in Indigenous communities to strengthen social values, leadership and cohesion in addressing Indigenous violence will be emphasised. Some comment will be made on the role of underlying factors (‘deep historical circumstances’) in contributing to violence, in conjunction with precipitating causes and situational factors, the former being somewhat downplayed in policy debate over the period of the Howard government.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".