(Re)calibrating heritage: Al-Jdeideh (post-)conflict transformations in Aleppo, Syria
Bibliographic record
Abstract
This paper examines how armed conflict impacts the recalibration of Aleppo’s historic urban and cultural fabric, using the Al-Jdeideh quarter as a case study. This article critically reflects on the ongoing (post-)conflict, top-down (post-)reconstruction activities in Aleppo’s historic core, drawing on ethnographic research of visual mapping and semi-structured interviews with current Aleppo dwellers in the city and former dwellers displaced across Europe. Our findings highlight that the current reconstruction activities lack locals’ values and needs, and amplify the altered socio-economic dynamics between the (former) communities’ absence and presence. Therefore, these activities are resulting in a skewed representation of what once was a major hub of culture, commerce, heritage, and everyday life. As such, the paper argues that the current reconstruction attempts lack a comprehensive and context-specific approach, and need to explore more inclusive pathways of human-centered and sustainable recovery.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.006 |
| 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".