Demographic and Socioeconomic Outcomes Across the Indigenous Australian Lifecourse : Evidence from the 2006 Census
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Across almost all standard indicators, the Indigenous population of Australia has worse outcomes than the non-Indigenous population. Despite the abundance of statistics and a plethora of government reports on Indigenous outcomes, there is very little information on how Indigenous disadvantage accumulates or is mitigated through time at the individual level. The research that is available highlights two key findings. Firstly, that Indigenous disadvantage starts from a very early age and widens over time. Secondly, that the timing of key life events including education attendance, marriage, childbirth and retirement occur on average at different ages for the Indigenous compared to the non-Indigenous population. To target policy interventions that will contribute to meeting the Council of Australian Governments’ (COAG) Closing the Gap targets, it is important to understand and acknowledge the differences between the Indigenous and non-Indigenous lifecourse in Australia, as well as the factors that lead to variation within the Indigenous population.
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.
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 | 0.002 | 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 | 0.011 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it