KONSERVASI SUMBER DAYA ALAM DAN PENGENDALIAN KERUSAKAN SUMBER-SUMBER AIR DI WILAYAH KECAMATAN PATRANG, SUMBERSARI DAN KALIWATES KABUPATEN JEMBER
Bibliographic record
Abstract
Laju pertambahan penduduk dan percepatan pembangunan di berbagai kawasan di Indonesia tidak berbanding lurus dengan ketersediaan sumberdaya air, terutama air bersih, yang sering dikesampingkan namun berperan penting dalam menopang kehidupan sehari-hari. Ketersediaan sumberdaya air tak hanya persoalan berkurangnya pasokan, namun juga karena distribusi sumberdaya air yang tidak merata terhadap persebaran dan jumlah penduduk. Di sisi lain, berbagai aktivitas manusia dan alam turut mencemari dan memperburuk kualitas sumberdaya air, sehingga manusia tidak dapat langsung memanfaatkannya sebagai air bersih. Bumi memiliki kawasan khusus yang meresapkan dan menyimpan air secara alami sebagai sumberdaya air tanah.Berdasarkan survey sosial masyarakat bahwa kondisi air semakin memperihatinkan, memberikan kesadaran dan pemahaman bahwa saat ini sudah mendesak diperlukan upaya-upaya sistematis, terencana, dan terintegrasi dalam menangani atau mengelola air agar lebih lestari. Mayoritas masyarakat menyatakan saat ini sangat mendesak dan diperlukan upaya-serius untuk menangani masalah air sehingga tidak terjadi masalah krisis yang di khawatirkan. Kondisi tersebut cukup menggembirakan mengingat secara faktual terdapat kecenderungan bahwa masyarakat mulai menyadari tingkat kerusakan sumber air dan penurunan kualitas dan kuantitas air, dan konsekuensinya bagi kehidupan.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".