Theorising Labour Law in a Changing World: Towards Inclusive Labour Law
Bibliographic record
Abstract
This collection brings together perspectives from industrial relations, political economy, political theory, labour history, sociology, gender studies and regulatory theory to build a more inclusive theory of labour law. That is, a theory of labour law that is more inclusive of non-traditional workers (including those in atypical work, or from non-traditional backgrounds); more inclusive of a variety of collective approaches to work regulation that foster solidarity between workers; and more inclusive of interdisciplinary and complex explanations of labour law and its regulatory spaces. The individual chapters speak to this theme of inclusivity in different ways and offer different suggestions for how it might be achieved. They break down the barriers between legal research and other fields, to promote fruitful and integrative conversations across disciplines. In the spirit of inclusivity and intergenerational dialogue, the book blends contributions from early career and emerging scholars with those from leading scholars in the field, featuring critical commentary from senior labour law figures alongside theoretically and empirically informed 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.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| 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".