The Evolution of the Regulatory Framework for Trade Union Training in Australia
Bibliographic record
Abstract
Inspired by trade union education programs in the United Kingdom, Europe and Canada, the Trade Union Training Authority (TUTA) and Clyde Cameron College were established with bipartisan support by passage of the Trade Union Training Authority Act 1975. The delivery of trade union education through a publicly funded statutory body was significant internationally and continued until the Howard Government abolished TUTA in 1996. This article explores how the TUTA promise of worker education was delivered at the workplace level, examining the development of union education leave clauses in awards and agreements and the approach of the federal industrial tribunal in considering claims for this form of leave from the early 1970s. It considers the changing position with respect to trade union education leave under the Workplace Relations Act 1996 (Cth), the Workplace Relations Amendment (Work Choices) Act 2005 (Cth) and the Fair Work Act 2009 (Cth), in the context of provisions regulating the institutional and organisational rights of unions more generally. The article aims to examine the nature of various forms of legal support for workers’ access to union training and the effects of shifting legal and regulatory frameworks over time.
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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 | 0.021 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".