Social Capital, Networks, and Community Environments in Bangkok, Thailand
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper considers the case of Bangkok where, as in many Asian cities, the expansion of urban areas has outpaced the ability of public entities to manage and provide basic services. One potential way to improve the capacity of neighborhoods to assist in provision or improvement in environmental services is to enhance the positive contributions provided by local social networks and social capital. A conceptual framework is presented to explore the role of social networks in environmental management in polluted urban environments. This is followed by a brief description of the methodology and survey instrument used to collect information from a sample of community households in Bangkok and an analysis of the results from this survey regarding environmental practices, community action, and social networks. Some of the results suggest that increasing the number of social interactions that residents of a community experience is associated with increased community participation as, apparently, is increasing knowledge about what happens to waste or waste water after it leaves the community. Local public education efforts that focus on useful knowledge about environmental impacts may well be an effective way to encourage community participation.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it