Gender roles and expertise in pest management and cabbage production in Tomohon, Indonesia.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Determination of the relative involvement of men and women in agricultural systems is often critical to the successful implementation of extension services and new pest management technologies. This study emphasizes the importance of including both male and female farmers in future extension services and pest management training activities. Interviews were conducted in three villages in the sub-district of Tomohon, North Sulawesi, Indonesia, to obtain information on pest management practices, levels of pest management knowledge, and gender roles in cabbage production. It was determined that male farmers had a higher participation rate in fieldwork than females; both women and men performed all production tasks, except the solely male task of applying insecticides; women were most active in planting, weeding, and transplanting; levels of biological knowledge about cabbage pests were very high but quality of pest management knowledge was poor; and, no gender-based differences existed in terms of pest management knowledge. The latter finding was contrary to expressed beliefs that men were more knowledgeable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it