Urban Growth and Its Impact on the Housing Problem: The City of Al-Amarah as a Model
Bibliographic record
Abstract
The research aims to show the problem of housing as a result of the growing population growth by knowing the amount of housing needed and the housing deficit. The study employed the city of Al-Amarah as a case study and focused on three housing sectors that included 54 residential neighbourhoods, as the city occupies an area of 4854,2 hectares. The study shows the causes of this problem are represented by steady urban growth with a growth rate of 3.4%, which was reflected in the size of families, which amounted to 115,509 families, with a housing density of 24.4 families/ha, living in 72,186 housing units with an occupancy rate of 8. The findings show that another reason is the spread of slums in the city, amounting to 5029 housing units. Finally, the study also shows that as long as the present political and economic difficulties remain unsolved, the urbanisation crisis, which is characterised by unregulated unemployment, underemployment, housing shortages, a lack of social infrastructure, and, of course, poverty, will continue to deteriorate.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".