Tipologi Aplikasi Infrastruktur Hijau Skala Komunitas pada Kampung Kota di Indonesia
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 addresses one of the knowledge gaps that exists in green infrastructure (GI) discourses, that is the lack of understanding on the application of GI at community scale. GI was first introduced as an alternative to address problems caused by rapid urbanisation. Recently, GI has become a crucial part of strategies to achieve sustainable development and therefore has been widely advocated for its environmental, social, and economic benefits. Although the concepts and benefits of green infrastructure have been widely discussed and recognized in the literature, much of the discussions on GI tend to revolve around its applications at the city and regional scales, while the application of small scale GI at the community level has not been much explored, despite the importance of multiscale principle in the application of GI. To address that issue, this study focuses on the application of small-scale GI at the community level. It employed a systematic review to analyse publications, including articles published in scientific journals and news on reliable mass media on the internet, regarding the application of small-scale GI in 23 Indonesian urban kampung. The study shows that in dense settlements like urban kampung, community scale GI emerges as an alternative solution to the lack of space for GI development. From the 23 cases analysed, GI is mostly intended to function as a mean for environmental conservation and to promote food security.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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