Trends in the Reconstruction of Traditional Houses in the Old City of Mosul
Bibliographic record
Abstract
Heritage buildings, including traditional houses, represent a visual and intellectual record of the cultural face of a civilization that reflects the intellectual specificity of the social, environmental, and aesthetic systems inherited in societies.Each traditional city was distinguished by its peculiarity over the others as a result of the privacy of these factors, including the city of Mosul.After the events of the occupation of Mosul by ISIS in 2014, many traditional houses were damaged, and most of them were wiped off the face of the earth.After the city's liberation, the city's reconstruction operations began, including the reconstruction of these houses.The parties involved in the reconstruction process varied, including civil society organizations and the individuals who own those houses.For the most part, the new reconstruction did not maintain the traditional house pattern, either in terms of construction technology or spatial organization and even at the level of finishing materials.Thus, the research problem is the unclear approach to knowledge about the trends related to the reconstruction of traditional houses in the old city of Mosul.The most prominent results reached by this research was that there are three trends: reproduction of the original, hybridization, modern style, and renewal and the appropriate approach for the reconstruction of houses in the old city of Mosul is the direction of Renewal appropriate to the needs of the people of Mosul.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 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".