The extent and nature of exits from the Disability Support Pension
Bibliographic record
Abstract
This study uses administrative records for recipients of the Disability Support\nPension (DSP) over the period 1995 to 2002 to investigate the extent and nature\nof exits from DSP, with particular emphasis on exits due to take up of employment.\nThe analysis shows that, consistent with the long-term nature of the DSP payment,\nall exits in a given year amount to less than 10 per cent of the total number of\nDSP recipients in that year; and of these, only one-quarter are exits off all income\nsupport payments - that is, non-death non-transfer exits. Furthermore, over 50 per\ncent of the DSP recipients who make the transition off payments return to income\nsupport within two years. We further find that the rate of non-death non-transfer\nexits declines with the time on payments, and that it is also lower for older DSP\nrecipients and those who transferred to DSP from unemployment benefits.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".