Unplanned Settlement Enclave Amidst Private City Developments
Bibliographic record
Abstract
The purpose of this research is to discover the factors which create the bonding social capital strengthening the relationship amongst Lengkong Kyai residents, Tangerang Regency, Banten, Indonesia. This research employs the qualitative method by triangulating primary data collected from in-depth interviews with local community leaders and public figures, field observation, and secondary data in the form of video recording, journalistic publications, and scientific journals from previous researches. The result shows that historical legacy, maintenance strategy, implantation of cultural, religious, and spiritual beliefs values, shared identity, as well as a relationship based on mutual trust are the factors contributing to the bonding social capital amongst Lengkong Kyai Residents. The novelty of this research is pointing out that policymakers, developers, even capitalist-oriented academicians often neglect the existence of bonding social capital in the development of urban settlements. This neglect often creates tension between kampong enclave’s residents and housing developers. Coexisting and mutual respect becomes important in building bridging and linking social capital between kampong residents, housing developers, local government, and private city dwellers.
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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 | 0.000 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".