Bibliographic record
Abstract
Mortality change in Australia since 1907 is analysed in the light of Epidemiologic Transition theory. Trends in life expectancy by sex and the sex difference, are examined at ages 0, 50, 65 and 85 years. Trends in mortality by major cause of death are broadly related to the stages of the Epidemiologic Transition, and a decomposition of changes in life expectancy by age and cause of death is used to further elaborate on the progression through three stages, the Age of Receding Pandemics, the Age of Degenerative and Man-Made Diseases and the Age of Delayed Degenerative Diseases. A consideration of temporal changes in age patterns of mortality decline includes a focus on infant mortality, the accident hump and mortality at older ages. In the early decades of the twentieth century, Australia was a leader in the Epidemiologic Transition, but had lost this advantage by 1950. Differentials by state/territory, indigeneity and socio-economic factors identify the leaders and laggards in the transition.
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 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".