OPTIMALISASI PENGEMBANGAN KAWASAN AGROPOLITAN MALALO MELALUI PEMETAAN KOMODITAS UNGGULAN
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
Pengembangan kawasan agropolitan Malalo saat ini belum optimal karena perencanaan pengembangan wilayah berbasis potensi komoditas yang tidak terkait sehingga komoditas unggulan yang dikembangkan tidak tepat sasaran. Oleh karena itu, komoditas pertanian yang menjadi komoditas basis yang dijadikan komoditas unggulan perlu dikenali. Pemetaan komoditas dikawasan agropolitan Malolo dilakukan dengan menggunakan software ArcGIS dan dianalisis secara deskriptif kualitatif dan kuantitatif. Hasil penelitian menunjukkan bahwa komoditas pertanian yang menjadi komoditas pokok di kawasan agropolitan Malolo adalah padi, jagung, kacang hijau, ubi kayu, dan ubi jalar. Dari komoditas tersebut, komoditas unggulan yang dapat dijadikan komoditas unggulan di kawasan agropolitan Malolo adalah komoditas jagung yang tersebar di desa-desa dan keluarga, yaitu Towata, Barugaya, Timbuseng, dan Massamaturu.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it