Effects of Sustainable Home-Yard Food Garden (KRPL) Program: A Case of Banten in Indonesia
Bibliographic record
Abstract
This study aims to evaluate the effects of an urban and peri-urban agriculture program called Sustainable Home-Yard Food Garden (KRPL, Kawasan Rumah Pangan Lestari) on participants’ household income and identify factors affecting the extent to which a participant is actively involved in the program. Many varieties of fresh vegetables, such as chilies, celery, mustard, kai lan (Chinese broccoli), eggplants, tomatoes, cauliflower, lettuce, packoy (Chinese cabbage), cabbage, long beans, and spinach, are harvested from plastic pots, suggesting the program contributes to dietary diversification. In addition, participating in the KRPL program results in cutting back on expenditure on fresh vegetables and/or increasing household income to a certain extent. The estimation results of the OLS regression model using the interview survey data indicate that a KRPL participant who has a larger number of pots and/or grows more varieties of vegetables tends to exhibit the following characteristics: (1) she likes gardening and/or spending time in nature, (2) she is not motivated by a passive reason for participating in the KRPL program, (3) she grows vegetables for the purpose of selling them, (4) the largest proportion of products is sold to someone or given to her friends/neighbors/relatives, and (5) she resides in the more developed northern part of Banten, which is directly connected to the capital city by the Jakarta-Merak toll road.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".