Bibliographic record
Abstract
Dalam proses pengembangan dan pembangunan banyak menggunakan beberapa cara, salah satu nya dengan cara melindungi lahan pertanian pangan dalam rangka untuk ketahanan pangan secara nasional maupun untuk daerah itu sendiri. Kabupaten Kendal mengesahkan peraturan daerah No. 11 Tahun 2020 tentang Perubahan atas Peraturan Daerah Kabupaten Kendal Nomor 13 Tahun 2013 tentang Perlindungan Lahan Pertanian Pangan Berkelanjutan di Kabupaten Kendal. Kedua Perda tersebut telah disesuaikan dan memuat penetapan lahan pertanian tanaman pangan yang tersebar di seluruh kecamatan di Kabupaten Kendal. Saat ini Kabupaten kendal sudah memiliki peta lahan pertanian pangan berkelanjutan, peta tersebut di sajikan dalam bentuk sistem informasi Geografis (SIG) berbasis desktop (standalone), seiring perkambangan jaman kini dapat diimplementasikan dalam sebuah web. Keutungan menggunakan web adalah mempermudah dalam mendapatkan informasi karena dapat di akses kapan pun dan dimanapu, kapasitas penyimpanan lebih besar dan dapat menampilkan informasi secara jelas.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.070 | 0.031 |
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".