Review of: Praveen Jha, Avinash Kumar and Yamini Mishra (eds) (2020) Labouring Women: Issues and Challenges in Contemporary India
Bibliographic record
Abstract
The issue of women's employment and participation in the labour force is widely debated for a multitude of reasons.Neglecting women's unpaid labour and care work, the gender wage gap, undermining and under-reporting women's paid work in statistics are a few of the significant ones in the body of scholarship.The book Labouring Women: Issues and Challenges in Contemporary India, edited by Praveen Jha, Avinash Kumar and Yamini Mishra, makes a significant contribution to the domain of research on women's employment and labour force participation.For academic scholars in sociology, development studies, gender and economics, as well as decision-makers, this book is noteworthy.The book has an introduction by the editors and twelve chapters written by seventeen different authors.The entire collection is well-written, interesting and covers a variety of labourrelated issues.By concentrating on conceptual and methodological issues of women's labour, it seeks to address some of the key issues surrounding women's work.The contrasts between paid and unpaid labour, as well as between economic and non-economic activities in the labour market, are also highlighted and discussed.As has already been said, it is crucial to take the differences into account because a significant portion of women's unpaid labour is disregarded and invisible in statistics reports.Each chapter in the book offers a comprehensive examination of a particular case study using both pertinent theory and a quantitative approach.The volume's introduction makes the case that the various elements of the intersection between the labour question and the women's question are of primary interest.All the chapters have a focus on comprehending the interconnection between paid and unpaid work, present alternative theories, and draw attention to methodological concerns related to women's labour market participation.From Jayati Ghosh's term "time poverty", which refers to women having little time for themselves, through discussions of care work, underpaid work, women domestic workers, land rights, common property resources and the role of public investment in boosting women's livelihoods, a wide variety of viewpoints are well combined in the book.Feminist scholarship, history, politics and sociology are all included since the economics discipline's interest in women and labour also makes these fields relevant.This comprehensive book offers some remarkable insights.For instance, the World Economic Forum's (WEF) 2017 Global Gender Gap Report reveals that India has under-performed in areas like economic engagement, educational achievement and health status.The study's findings also indicate that women's participation rates in the labour force have decreased nationwide during the past forty years, which raises methodological issues with the data collected.In contrast to this
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.015 |
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".