Pembenahan Lingkungan dan Pembuatan Bangunan yang Sehat, Kuat dan Nyaman di RW 10 Kelurahan Cawang
Bibliographic record
Abstract
Penataan sistem Drainase dan Lingkungan di wilayah pemukiman pada penduduk yang ada di kota madya Jakarta Timur merupakan suatu kebutuhan yang sangat mendesak. Terlebih di masa pandemic COVID-19 yang telah berlangsung selama lebih dari 1 tahun, pembenahan lingkungan yang bersih, nyaman dan asri adalah salah satu cara untuk memutuskan mata rantai penyebaran penyakit tersebut. Keterbatasan lahan untuk zona hijau ataupun infrastrukur drainase dan trotoar jalan tentunya membutuhkan perencanaan secara optimal sesuai kriteria teknis sesuai standar yang ada untuk mendapatkan lingkungan perumahan yang sehat, aman dan nyaman bagi setiap penghuni. Untuk itu Program Studi Teknik Sipil UKI sebagai bagian dari masyarakat akademik yang berada di wilayah Kelurahan Cawang melalui Pengabdian kepada Masyarakat terlibat dalam memberikan pembekalan teknis dalam rangka penataan lingkungan dan hunian yang memenuhi standar di kawasan seperti ini.
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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".