Sustainable City: Assessing the Community Happiness of Residents in Putrajaya Municipality Malaysia
Bibliographic record
Abstract
With the recent establishment of linkages between characteristics of the community and subjective well-being of residents by a sociologist, the ability to design and monitor urban development that enables human and environmental well-being becomes necessary. Developing communities sustainably require resilient economic, environmental, social and governance systems. This study assesses community happiness based on perceived satisfaction of sustainable development interventions in urban areas. A sample of 400 residents was selected to complete the self-reported survey on specific items on a 10-point response scale (1 means “very dissatisfied” and 10 means “very satisfied”). The sample comprised of residents between 18 years of age and above who lived and works in the town, outside and identified with the communities in the city. The results show that the environmental well-being (M=7.69, SD=1.59), social well-being (M=6.96, SD=1.73), and urban governance (M=6.69, SD=1.61), and economic well-being (M=6.19, SD=2.01) respectively were positively perceived to contribute to the overall community happiness (M=6.88). The findings suggest that investments unto the dimensions could lead to a more optimistic outlook for sustainable community future. The study contributed to the literature on the connection between subjective well-being and sustainable development, and also the measure of community happiness in local context using subjective approach, particularly in Malaysia.
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How this classification was reachedexpand
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".