Spatial Organization Characteristics and Their Impact on Determining the Strategies for the Reconstruction of the Old City of Mosul (Legibility in the District of al-Jami' al-Nuri al-Kabir as a Model)
Bibliographic record
Abstract
Nowadays, the old city of Mosul is witnessing large urban movements aiming at reconstructing the traditional city after the destruction it suffered during the war against ISIS. So to come up with suitable suggestions and solutions for the urban renewal of the city of Mosul in a way that maintains the morphology of the old city, and hence, preserving its urban and cultural legacy, This paper investigated the organizational aspects of Mosul’s old city, " al-Jami' al-Nuri al-Kabir " area in particular. As, the degree of legibility, area of integration, segregation and degrees of connectivity were determined using space syntax. The practical part of the study included the spatial system of the area, which was analyzed using ArcView 3.3 software. As a result, the research determined high integration, segregation, connectivity, weak control, degree of legibility of the city in general, and the factors affecting it. The research came out with a set of conclusions and recommendations that are recommended to be taken in the rehabilitation of the archaeological buildings and their neighborhood in the region. Where the research came out with a set of conclusions and recommendations that are recommended to be taken in the rehabilitation of the archaeological buildings and their neighborhood in the region. the research recommends studying the overall spatial structure of the city in order to give way for sound design judgments that help maintain the original physical aspects of the city and stop morphological alterations to the city.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 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".