PARTISIPASI MASYARAKAT DALAM PERENCANAAN PEMBANGUNAN DESA DI KABUPATEN BANDUNG
Bibliographic record
Abstract
This research is intended to study community participation in village development planning in Bandung regency, West Java Province. The question raised is related to community participation in Sayati village, Margahayu sub-district; Nanjung Village, Margaasih District; Margamukti Village, Pangalengan District; and Ciburial Village, Cimenyan District, Bandung Regency, West Java Province. Participation is intended more to explore the process of involvement in expressing opinions, opportunities in expressing opinions and opportunities in implementing policy planning and development programs in the four selected villages. In this study, researchers used the Arnstein ladder model developed by Hart as the grand analysis theory in this study. In this study used a qualitative method so that the main instrument is the researcher himself. The technique used in this study is observation which is completed with in-depth interviews conducted with key informants and making field notes about events that researchers encounter in the field. The results showed that, community participation in village development planning in accordance with formal procedures for the formulation of development planning in Bandung Regency, community participation in village development planning which only took the form of physical presence and community participation in village development planning which only took the form of participation ideas and ideas alone by ignoring participation in physical presence.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".