Children combining work and education in cottonseed production in Andhra Pradesh: implications for discourses of children's rights in India
Bibliographic record
Abstract
Child labour in India has long been the focus of research, policy concern and intervention. This paper presents a preliminary analysis of children's work in cottonseed production in Andhra Pradesh, drawing on evidence from two case studies from the qualitative component of Young Lives. In parts of rural Andhra Pradesh, children work in the cotton fields for two to three months of the school year. Children highlighted the importance of this work in their everyday lives and its consequences for their schooling. Evidence shows marked gender and age differentiation. In the early stages of cotton production, there was reported to be a cultural as well as an economic basis for children's work in cottonseed pollination, when it was believed that pre-pubescent girls were preferred for this kind of work, as they were considered to be 'pure'. However, this has shifted somewhat, and children appear to work in cotton pollination for economic reasons, as well as practical ideas that they are better-suited to this type of work because of their physical height and dexterity. The paper concludes with a discussion of the implications of the research for discourses related to children’s rights in India.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.029 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".