The Impact of Housing Conditions on the Emotion, Behaviour, and Psychological Wellbeing of Middle-Income Groups
Bibliographic record
Abstract
Housing remains a major problem for most, especially for the bottom billions; satisfaction on housing is one of the important indicators that reflect the societal wellbeing. This paper provides a meaning and understanding for the relationship between housing conditions and wellbeing; therefore, it evaluates the impact of housing conditions on the emotion, behaviour and psychological wellbeing of middle-income group in Malaysia. In fact, the housing conditions in this research include home size, housing features, as well as safety and security. Respondents of 390 were randomly selected from those middle-income houses in Kuala Lumpur and Johor Bahru (Skudai). The accumulated data were then analysed and descriptive statistics were used to interpret and evaluate the impact of housing condition on wellbeing. The finding showed small but significant positive relationship between housing conditions and psychological wellbeing. However, housing conditions is the contributing factors, which negatively affect the behaviour and attitude of middle-income group children. Overall, this research supports the critical link between good housing condition that is decent, safe, secure, and affordable and positive health outcome.
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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 | 0.002 | 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 | 0.000 | 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".