The Legal Production of Precarious Work
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
Globalisation, the shift from manufacturing to services as a source of employment, and the spread of information-based systems and technologies have given birth to a new economy, which emphasises flexibility in the labour market and in employment relations. These changes have led to the erosion of the standard (industrial) employment relationship and an increase in precarious work - work which is poorly paid and insecure. Women perform a disproportionate amount of precarious work. This collection of original essays by leading scholars on labour law and women's work explores the relationship between precarious work and gender, and evaluates the extent to which the growth and spread of precarious work challenges traditional norms of labour law and conventional forms of legal regulation. The book provides a comparative perspective by furnishing case studies from Australia, Canada, the Netherlands, Quebec, Sweden, the UK, and the US, as well as the international and supranational context through essays that focus on the IMF, the ILO, and the EU. Common themes and concepts thread throughout the essays, which grapple with the legal and public policy challenges posed by women's precarious work.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it