Spatial Dimensions of Urban Households in the City of Ramadi, Iraq for the Year 2022
Bibliographic record
Abstract
Urban households represent a contemporary trend characterized by the enforced integration of rural settlements into the urban landscape. Ramadi city exemplifies this trend, with the research focusing on analyzing the spatial dimensions of urban households in Ramadi, the central hub of Anbar Governorate located in western Iraq. It holds a prominent position within the hierarchy of Iraq's major governorates. The research's significance lies in the scarcity of studies addressing urban household issues, illuminating their expansion stages resulting from the city's rapid population growth. This expansion has led to unplanned urban sprawl, encircling urban household areas. The basis for conducting this research likely stems from the escalation of tangible challenges interwoven within the urban landscape and the acute deficiency experienced by villages and captive areas in terms of essential services. A key discovery from the research is the ability to pinpoint urban household areas, with approximately 1665 hectares of captured agricultural land, accounting for about 6.32% of the city's primary plan. This encompasses two districts, namely District 16, Al-Zawiya, and District 26, Al-Sahalat. This expansion was not driven by actual land requirements but rather by arbitrary growth inconsistent with the actual population density and the future needs of the city's residents.
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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".