Building-Related Health Issues in an Unsustainable Neighbourhood– a Study of a Slum Area in Jeddah, Saudi Arabia
Bibliographic record
Abstract
Similar to many slum areas across the globe, the living conditions are very unhealthy, and the people who live in Jeddah slum areas are endangered by contracting certain health complications and diseases. This paper investigated the predominant health issues that are related to the building conditions faced by the people who reside in Kilometre 2, the largest slum area in Jeddah, Saudi Arabia. An online survey was used to collect data from fifty heads of household, selected using a snowballing technique; forty-nine responded. The results revealed that almost all of the respondents acknowledged the bad conditions of the buildings and had no access to clean water. The majority of them experienced building-related health illness, with allergies and dysentery as the most common. The results imply the need for government intervention and a joint effort from the public and private sectors to solve the problems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.001 | 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 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".