Pengembangan Taman Kota Sebagai Ruang Ketiga (Third Place) Di Kota Banda Aceh
Bibliographic record
Abstract
Rapid urban growth and population increases in Banda Aceh have heightened the need for public spaces that support community interaction. City parks have emerged as potential "third places," providing environments distinct from home and work. This study evaluates three parks in Banda Aceh — Blang Padang Field Park, Sari/Bustanussalatin Park, and Krueng Neng Park — against criteria such as openness, flexibility, and contextuality relevance. Using mixed methods, including field surveys, observations, and questionnaires distributed to 100 visitors, the research highlights these parks as inclusive social hubs. Each park has distinct roles: Blang Padang serves as a social and sports hub, Taman Sari emphasizes historical and cultural connections, and Krueng Neng prioritizes family-oriented facilities like playgrounds and fishing areas. Despite their benefits, issues like cleanliness, safety, and inadequate facilities need attention to enhance their utility. Recommendations include adding sports facilities and Wi-Fi to Blang Padang for students and freelancers, transforming Taman Sari into a cultural hub with art and discussion spaces, and enhancing Krueng Neng with better family recreation amenities and accessibility. With improved management, these parks could foster social bonds, offer dynamic interaction spaces, and elevate Banda Aceh residents’ quality of life.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".