The Future of Unions and Worker Representation: The Digital Picket Line
Bibliographic record
Abstract
The Future of Unions and Worker Representation, written by Professor Anthony Forsyth, thoroughly examines four countries and industrial relations systems—Australia, the UK, the USA, and Italy—to assess and contrast their similarities and differences. The choice of these systems is not accidental. The author compares three industrial relations systems that are rooted in the common law and currently share a very fragmented collective bargaining structure with that of a civil law-based system that, despite recent attempts at decentralization, still maintains a more centralized structure. The interest of Anglophone scholars towards industrialized non-English speaking countries is relatively uncommon, making this element of the study original and valuable in itself in recent labour and industrial relations scholarship. In the book, Professor Forsyth offers a detailed and insightful description of the trends and developments in unionization and labour regulation in all four countries. His comparative analysis shows a deep understanding of the structures of their systems, their recent historical evolution, and the challenges they currently face, both shared and unique.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.006 |
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".