Contribution of Women’s Working Time on Vegetable Crops to Family Income in Ogan Komering Ulu District
Bibliographic record
Abstract
The purpose of this study was to analyze the income of female farmers on family income in Ogan Komering Ulu Regency. The method used in this study is the survey method. The sampling method in this study was carried out in proportion randomly with a sample of 180 female farmers. The results obtained explained that the outpouring of women's work time <0.40 Perso with the number of respondents as many as 28 people (15.56%), 0.41-0.50 HOK (labor working day) as many as 38 people (21.11%), 0.61-0.70 HOK as many as 88 people (48.89%) and 0.71-0.80 HOK as many as 26 people (14.44%). Based on the outpouring of women's working time in Ogan Komering Ulu Regency is 0.61-0.70 HOK with a total of 88 respondents (48.89%). The contribution of women farmers to family income in Semidang Aji District is 25.94%. The contribution of women farmers to family income in Sosoh Buay Rayap District was 25.67% and the contribution of female farmers to family income in Lubuk Raja District was 26.62%. Then the contribution of women farmers to family income is the highest contribution of women's income in Lubuk Raja District at 26.62%. The contribution of women farming vegetable crops to family income in Ogan Komering Ulu Regency was 26.08%. this shows that more than a quarter of the income of peasant families comes from female farmers. So women farmers contribute quite a lot to the total income of the farmer's family. The income is used to meet the needs of the family such as daily food expenses, school fees for children, and so on.
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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 | 0.001 | 0.000 |
| 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".