KOLABORASI MULTIDISIPLIN UNTUK PENGEMBANGAN LINGKUNGAN RT: PEMETAAN, DAN INFRASTRUKTUR
Bibliographic record
Abstract
Kegiatan ini dilaksanakan di RT 38 Kelurahan Gunung Samarinda, Balikpapan Utara, sebagai bentuk pengabdian masyarakat berbasis kolaborasi multidisiplin. Kegiatan ini merespons isu lingkungan seperti belum adanya peta administrasi wilayah, fasilitas umum yang tidak memadai, dan sistem pengelolaan sampah yang belum optimal. Empat fokus program utama dirancang, meliputi: pembuatan peta wilayah, perencanaan desain posyandu dan pos kamling beserta RAB, pemasangan papan nama jalan dan gang, serta pembentukan Bank Sampah berbasis partisipasi warga. Metode pelaksanaan terbagi dalam tiga tahap: persiapan, pelaksanaan, dan evaluasi. Partisipasi aktif warga dan mitra RT sangat berperan dalam kelancaran kegiatan. Meskipun menghadapi beberapa kendala teknis dan administratif, program berjalan dengan baik dan menghasilkan luaran nyata bagi masyarakat. Kegiatan ini tidak hanya memberikan dampak fisik bagi lingkungan, tetapi juga memperkuat keterlibatan warga dalam pembangunan wilayah. Pengabdian masyarakat ini diharapkan menjadi model pengembangan kawasan berbasis kolaborasi antarbidang keilmuan dan partisipasi masyarakat.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.010 |
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".