OBSERVASI PEDULI LINGKUNGAN DAN SUMBER DAYA LAHAN MELALUI PENDEKATAN EKOLOGI FAKTORAL DI DISTRIK HUBIKIAK KABUPATEN JAYAWIJAYA
Bibliographic record
Abstract
Tujuan untuk mengetahui observasi peduli lingkungan dan pemetaan sumber daya lahan di kabupaten Jayawijaya. Karena tidak diketahui sebaran dan luasan potensi lahan yang ada, perencanaan penggunaan lahan belum optimal dilakukan, dan potensi sumber daya lahan di Distrik Hubikiak cukup luas, namun belum terinventarisasi dan dikelola dengan maksimal. Aparat pemerintah kampung juga harus lebih memahami peta. Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk meningkatkan pemahaman Aparat Pemerintahan Kampung tentang pemetaan sumber daya lahan, kepedulian lingkungan, dan proses pembuatan peta. Survei pendahuluan, sosialisasi, penyuluhan, Forum Grup Diskusi (FGD), survey lapangan, observasi, dan evaluasi adalah semua metode yang digunakan untuk melaksanakan kegiatan. Partisipasi masyarakat dalam kegiatan pengabdian kepada masyarakat ini sangat bagus, dan pemahaman mereka tentang lingkungan dapat meningkat. Menghasilkan Peta Potensi Sumber Daya Lahan di Kampung Musaima I distrik Hubikiak, yang memiliki potensi sumber daya lahan yang paling luas yang dapat dikelola dengan baik, adalah langkah akhir dari kegiatan pengabdian.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".