Sustainability, Quality of Life and Challenges in an Emerging City Region of George Town, Malaysia
Bibliographic record
Abstract
High urbanization in Asia has given rise to the necessity to revisit its planning strategies towards the notion of livability and sustainability. This has called upon a need to accommodate the living capacity and ability of cities to provide welfare to their populations. Cities become complex and contradictory spaces if problems with accessibility towards basic necessities, inefficient transportation systems, environmental degradation, urban poverty, social exclusion and collapsing community values are not tackled with scrutiny of the standards needed for the urban quality of life (QoL). This paper aims to describe the urbanisation processes that challenge the livability and sustainability of George Town, the world heritage site of Penang, Malaysia. Using questionnaires and in-depth interviews with respondents, data were collected to explore the quality of life indicators and to assess the extent of urban sustainability and the challenges faced by the local communities. With the notion of an emerging mega urban region, the success of George Town in planning and projecting a sustainable urban development model is a step towards eliminating contemporary urban challenges and to promoting its cultural heritage. In this way forward, the role of the local authorities is crucial to propel George Town towards a livable city status that is culturally preserved.
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.
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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".