Challenging the legal boundaries of work regulation
Bibliographic record
Abstract
1. Blurring Legal Boundaries: Regulating for Decent Work Judy Fudge PART I: INFORMALITY AT WORK 2. Flexibility and Informalisation of Employment Relationships Kamala Sankaran 3. Transform or Perish: Changing Conceptions of Work in Recycling Poornima Chikarmane and Lakshmi Narayanan 4. Informal Sectors and New Industries: The Complexities of Regulating Occupational Health and Safety in Developing Countries Richard Johnstone PART II: BETWEEN THE BORDERS OF EMPLOYMENT AND COMMERCIAL LAW 5. Legal Responsibility for Labour Conditions Down the Production Chain Alan Hyde 6. A Blurred Boundary between Entrepreneurship and Servitude: Regulating Business Format Franchising in Australia Joellen Riley 7. Developing Legislative Protection for Owner Drivers in Australia: The Long Road to Regulatory Best Practice Brendan Johnson 8. Organising Independent Contractors: The Impact of Competition Law Shae McCrystal 9. Regulation of Dependent Self-employed Workers in Spain: A Regulatory Framework for Informal Work? Juan-Pablo Landa Zapirain 10. Freelancers: An Intermediate Group in Labour Law? Guy Davidov PART III: PAID CARE WORKERS-THE SIGNIFICANCE OF INSTITUTIONS FOR DECENT WORK 11. The Wages of Care-workers: From Structure to Agency Guy Mundlak 12. Sector-based Collective Bargaining Regimes and Gender Segregation: A Case Study of Self-employed Home Childcare Workers in Quebec Stephanie Bernstein 13. From 'Domestic Servant' to 'Domestic Worker' Einat Albin 14. Employment Agencies and Domestic Work in Ghana Dzodzi Tsikata PART IV: REGULATING FOR DECENT WORK 15. Corporate Codes of Conduct in the Garment Sector in Bangalore Roopa Madhav 16. How Britain's Low-paid Non-unionised Employees Deal with Workplace Problems Anna Pollert 17. Learning from Case Law Accounts of Marginalised Working Lizzie Barmes
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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 | 0.041 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.094 |
| Scholarly communication | 0.023 | 0.017 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.015 | 0.019 |
| Insufficient payload (model declined to judge) | 0.007 | 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".