Impact of cash crop cultivation on gender relations dynamics in Khasi community, a matrilineal tribe of Meghalaya, India
Bibliographic record
Abstract
This paper presents the findings of a study on the impact of cash crop cultivation on the gender relations in Khasi community, a matrilineal tribe of Meghalaya, India..The study was conducted in the three contiguous villages viz., Nongryngkoh, Nohron and Wahlakhait using standard social science research methods.The study revealed that in shifting cultivation men and women are equally and actively involved in the on-farm activity while the responsibility of men in onfarm activity increases with the shift to cash crop cultivation.Unlike patriarchal societies the income from the cash crop goes to the women who are also responsible for shopping and management of house, a tradition of matrilineal society.Fuel wood collection, mainly the responsibility of women among the shifting cultivators, has reduced with the introduction of cash crops as the same is generally purchased from the market.With the introduction of cash crops, children's responsibilities of sibling care have decreased and the same has been taken over by the mothers.There is a significant drop in on-farm labour requirement with the shift in cultivation system which has led to reduction in overall workload of women particularly the on-farm productive work but there is considerable increase in their household responsibilities i.e. reproductive works.The tradition of community festivities and communal sharing of labour associated with shifting cultivation has steadily faded away as cash crop cultivation is a family based activity.In conclusion, it can be said that the economic and social condition of Khasi women has improved with the introduction of cash crops.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".