The Roles of Women in Food Security in South Merapi Slope Villages
Bibliographic record
Abstract
Economic conditions and poverty in rural areas have become problems in meeting the needs of food as the most basic needs/need. This problem can lead to food insecurity. This research aims to: (1) examine the characteristics of women; (2) study the obstacles faced by women in achieving food security; and (3) investigate women's efforts to achieve food security. The data were analyzed using quantitative descriptive technique by means of frequency tables. The livelihood diversification in Jetis Suruh was more visible than that in Bulus Lor. The fulfillment of individual food needs was related to economic, social, and cultural conditions. The year-round food needs of both villages indicated the need for food throughout the year. The need for food throughout the year in Bulus Lor was relatively better than that in Jetis Suruh. In general, food security in Bulus Lor was better than that in Jetis Suruh. Food security included the quantity and quality of food that met the standard of living of all family members. The availability of food in every household experienced dynamics at a certain time. When confronted with the limited food availability challenge, food for fathers was prioritized and this was dominant in both villages. Strategies to expand the diversification of businesses undertaken to increase household incomes included mobilizing all household members to go to work, borrowing money to make ends meet, saving money, reducing food, reducing the quality of food consumption, migrating jobs, and asking for help from family through friendship.
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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 | 0.001 | 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 | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".