Bibliographic record
Abstract
In Australia, a means-tested old-age \n public pension is paid from general tax revenues. A full \n pension (equivalent to roughly a quarter of the average \n wage) is currently paid to more than half the aged \n population, and a reduced pension is paid to another quarter \n of the aged population. About 20 percent receive no old-age \n public pension because of the level of their income or \n assets. There is also a compulsory system under which \n employers contribute at least 7 percent of salaries into a \n superannuation plan for the vast majority of employees. \n (This minimum rate will gradually rise to 9 percent in \n 2002.) More than 80 percent of superannuation benefits are \n received as lump sums; when public sector employees are \n excluded, the figure rises to almost 90 percent. The market \n for private life annuities with longevity insurance is very \n small. Greater use is made of allocated annuities, which are \n similar to income drawdowns in the United Kingdom or \n scheduled withdrawals in Latin American countries. The value \n of life annuities, measured by the money's worth ratio, \n compares favorably with that of annuities available in the \n United Kingdom and United States. But these ratios are \n calculated on the basis of conservative government bond \n yields. Many investors prefer allocated annuities--which are \n perceived to offer considerable advantages in flexibility \n and higher potential returns--despite the absence of \n longevity insurance.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; both teacher heads agree on what is shown here.
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".