Bibliographic record
Abstract
Australian labour market and industrial relations policies are poised for fundamental change. A combination of political and macroeconomic factors has created a historic opportunity to turn away from the individualised, market-driven labour market policy that has prevailed since the 1980s, in favour of a more interventionist and egalitarian approach. Factors contributing to this moment include the breakdown of bipartisan consensus around key neoliberal precepts; growing public anger over inequality, insecure work and stagnant wages; and a weakening of macroeconomic conditions. Australia’s labour market is now marked by underutilisation of labour in various forms, a deterioration in job quality (especially the growth of insecure and precarious work) and unprecedented weakness in wages. The deterioration in job quality and distributional outcomes is the long-term legacy of the post-1980s shift away from Australia’s earlier tradition of equality-seeking institutional structures and regulatory practices. The current malaise in labour markets should be confronted with a comprehensive strategy to both increase the quantity of work available to Australian workers and improve its quality. The major components of such a strategy are identified, and their prospects considered, in light of the economic and political forces reshaping Australia’s labour market. JEL Codes: J28, J38, J53, J58, J83
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".