Peningkatan Pemahaman Sistem Budidaya Pertanian Di Lahan Sempit Perkotaan
Bibliographic record
Abstract
Kotagede merupakan kawasan dengan kepadatan penduduk cukup tinggi. Akibatnya, lahan ruangterbuka juga terbatas, termasuk lahan yang dapat digunakan untuk budidaya tanaman. Muhammadiyahmerupakan salah satu organisasi sosial kemasyarakata yang berkembang di Kotagede. Pengabdianmasyarakat yang dilakukan untuk memberikan pemahaman kepada organisasi otonomi di bawahPimpinan Cabang Muhammadiyah Kotagede dalam memanfaatkan lahan sempit perkotaan dalamrangka budidaya tanaman yang bermanfaat pada lahan sempit. Metode yang dilakukan adalah denganmelakukan penyuluhan. Hasil analisis menunjukkan bahwa pengetahuan masyarakat sebelumdilakukannya penyuluhan sebesar …. Setelah dilakukan sosialisasi tentang budidaya tanaman padalahan sempit dan pemanfaatannya, pengetahuan masyarakat mengenai hal tersebut meningkat menjadi100%.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.064 | 0.013 |
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".