Bibliographic record
Abstract
Until the mid-20th century, consumption, as tuberculosis was then known, was a major cause of illness and death in Australia. Unfortunately, since then, other so-called consumptive diseases have emerged to supplant tuberculosis, namely, those related to the use of alcohol and tobacco, and overweight and obesity. Over the last 30 years, much progress has been made in reducing and eliminating the use of and exposure to tobacco. Per capita consumption of alcohol is at a 50-year low, having reached peak levels in the 1970s. Since the 1960s, Australians have become increasingly overweight and obese. The major objective of the liquor, food and associated industries is to optimise profits, that is, to sell as much food and alcohol as possible. The problem for Australians is that any growth in per capita consumption of alcohol and a continuation of current levels of food consumption carries ever-increasing health risks and burdens. The protection and promotion of the health of Australian citizens are major responsibilities of Commonwealth, State and Territory Governments. They have a responsibility to intervene to maintain a balance between actions that support commercial growth and development and the health and welfare of its citizens. In this context, they have largely failed. Solutions to this impasse are only possible if APSAD and other relevant organisations and individuals are active professionally and politically as leaders and advocates for evidence-based actions by both governments and commercial groups. [James G. Rankin. Australia, a consumptive society. Drug Alcohol Rev 2017;36:270-277].
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.009 |
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".