Bibliographic record
Abstract
INTRODUCTIONIn the past decade, there has been an increasing emphasis on the health of Australia's Aboriginal and Torres Strait Islander peoples, which is significantly worse than that of non-Indigenous Australians. For the period 1999-2001, the life expectancy for Indigenous males was 56 years and for Indigenous females 65 years, somewhat lower than the 77 years and 82 years recorded for all Australian males and females respectively (ABS &AIHW 2003 ). Despite a range of initiatives, there has been little overall improvement in Indigenous health over the past decade. This is in stark contrast to that of the Indigenous populations of New Zealand, Canada and the United States. One of the key issues in the current debates about how to address this apparent Jack of improvement in Australia is that of governance, given the increasing focus on community control, and thus devolution of decision-making and service responsibility to local communities. This partnering arrangement between Commonwealth and State/Territory governments and Aboriginal and Torres Strait Islander communities is essentially the process of governance referred to in this study. The study will draw upon the work of Stoker (1998) to argue that, in this process. the boundaries between and within public and private actors have become blurred, and that governance is affected by a number of factors including changing political and social environments, pressure from outside groups, and most importantly, by factors within the administrative process itself. Issues related to the nature and processes of governance in Aboriginal and Torres Strait Islander communities, particularly as they relate to health, will be examined, and some conclusions drawn about the capacity of community-controlled health services to achieve the desired outcomes in Aboriginal and Torres Strait Islander health.
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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 | 0.018 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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".