Bibliographic record
Abstract
Abstract This article brings a legal perspective to bear on debates about invisible labour. It argues that we can better understand the causes and implications of invisible labour and its relationship with gender equality by engaging, first, with the law's role in constituting human labour as work, and, second, with how this role influences the way in which the law comes to conceptualize that work for the purposes of regulating it. The article focuses on two categories of invisible labour: reproductive labour, performed predominantly on an unpaid basis in the home, and invisible work, labour that is procured through a wage relation and produces a surplus for firms/organizations, but that is not recognized as such for the purposes of legal regulation. It identifies different dimensions of these categories of invisible labour, explaining them by reference to distinctive features of legal doctrine, while teasing out their socio‐economic, and often gendered, implications.
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 | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.126 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.006 | 0.008 |
| 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".