The Unemployment Crisis in Australia: Which Way Out?
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
Introduction: the unemployment crisis and economic policy Stephen Bell 1. The dimensions and costs of unemployment in Australia Martin Watts 2. The causes of unemployment, William F. Mitchell 3. Are wage cuts the answer? P. N. Junankar 4. Labour market outcomes in the UK, New Zealand, Australia and the US R. G. Gregory 5. Is growth the answer? John Burgess and Roy Green 6. Can Keynesian policies stimulate growth in output and employment? J. W. Nevile 7. Economic speed limits on growth II Stephen Bell, Roy Green and John Burgess 8. Economic speed limits to growth Anis Chowdhury 9. The public sector as a job engine John Quiggin 10. What role for labour market programs? Elizabeth Webster 11. Unemployment, inequality and the political economy of redistribution Stephen Bell.
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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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 it