Bibliographic record
Abstract
Tujuan diselenggarakannya program Kuliah Kerja Nyata (KKN) yaitu untuk menumbuhkembangkan empati dan kepedulian mahasiswa terhadap berbagai permasalahan yang dihadapi masyarakat dan pembangunan yang mewujudkan mencerdaskan kehidupan dan kesejahteraanmasyarakat. Peneliti melaksanakan KKN di Desa Gunung Bunder II Kecamatan Pamijahan,Kabupaten Bogor dengan luas wilayah 386.450 Ha. Sasaran dalam penelitian ini dilaksanakandi kampung Pasir Putih RT 04/RW 04, Desa Gunung Bunder II, dengan jumlah penduduk 9.355jiwa yang terdiri dari 4.632 laki-laki dan 4723 perempuan dengan jumlah kepala keluargasebanyak 2.871 KK. Mata pencaharian masyarakat Desa Gunung Bunder II di dominasi olehburuh tani yang berjumlah 1550 orang. Adapun sarana pendidikan di Desa Gunung Bunder IIyaitu PAUD, SD/MI dan MTS. Metode yang dilakukan dalam penelitian ini yaitu wawancara,observasi, pendekatan, sosialisasi dan penyuluhan kepada masyarakat. Untuk mewujudkantujuan yang diharapkan oleh peneliti, peneliti membuat 12 program kerja dan satu programdalam momen besar HUT RI ke 73 dengan total 13 program kerja yang dilaksanakan dalamkurun waktu 30 hari. Masyarakat sangat antusias dalam program kerja yang telah direncanakanoleh peneliti. Namun ditemukan hambatan dalam pemasaran hasil dari ekonomi kreatif,sehingga perlunya kerjasama lintas sektor yang diharapkan dapat meningkatkan perekonomianmasyarakat Desa Gunung Bunder II, Kecamatan Pamijahan, Kabupaten Bogor.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 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) | 0.153 | 0.047 |
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".