Home Owning Democracy for the Urban Poor: A Case Study of Kuala Lumpur, Malaysia
Bibliographic record
Abstract
Home ownership for the urban poor poses a major challenge to metropolitan management and urban governance. The key aim of this study is to determine the role of the state in providing the opportunity for the urban poor to become home owners. Secondly, it also seeks to examine the level of sustainable owner-occupation amongst the urban poor given the opportunity to enter into homeownership. Drawing upon a case study of low-income housing in the capital city of Kuala Lumpur the study establishes that for many decades the governance of Kuala Lumpur has played an active role in designing and implementing a wide range of housing policies to house the low-income groups. The study argued that the establishment of strong institutional capacity is vital towards successful implementation of urban poor housing programs. Further insights into the level of sustainable owner-occupation amongst the households of low-income housing project confirm that the state has been successful in providing decent and affordable housing to its urban poor.
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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 | 0.003 | 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 | 0.001 | 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".