Khan Al-Hibal, Conserving The Historic Khans Of Aleppo-Syria
Bibliographic record
Abstract
Nişancı Mehmet Paşa tarafından 1594’te Halep’te yaptırılan Kendir Hanı -Arapça adıyla Han al Hibal- kentin ticari merkezinde yer almaktadır. Halep’teki tarihi hanlar bakımsızlık, gelişigüzel müdahaleler ve etkin koruma araçlarının eksikliği dolayısıyla harap durumdadırlar. Kendir Hanı da zamanla birçok değişiklik geçirmiştir. Alanda yapılan incelemeler ve arşiv çalışmaları sonunda hanın ilk tasarımı hakkında ayrıntılı bilgiler derlenmiş ve geçirdiği onarımlar irdelenmiştir. Kendir Hanı örneğinden yola çıkılarak, Halep’in tarihi çarşı bölgesinin bozulmasına neden olan etkenler analiz edilmiş; Han ve içinde bulunduğu tarihi çarşı bölgesi için öneriler geliştirilmiştir.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".