Revitalisasi Kelompok Wanita Tani (KWT) melalui Pemanfaatan Pekarangan Rumah di Desa Metesih Kecamatan Jiwan Kabupaten Madiun
Bibliographic record
Abstract
Farmer Women Groups (KWT/Kelompok Wanita Tani) is one of the organizations in Metesih Village, Jiwan Sub-District, Madiun Regency, East Java, KWT is present in the community to mobilize assets. When students arrived in the village, KWT was empty towards a leadership transition, after students carried out asset mapping, they found many assets, one of the most significant was an organization called KWT. All components of the community agreed to revitalize KWT with its revitalization main program, because by revitalization of KWT helping to strengthen the role of women in people live who had been considered weak, women could not find economic income for their families, with the strengthening of KWT role everything had changed. ABCD (Asset Based Community Development) was used in this research, because this approach was in accordance with the character of the community. Finally, the results obtained from this process namely changing in community mindsets, strengthening the role of KWT in community, increasing the role of women in various sectors and increasing community economic income from corn harvest in their fields.
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.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".