Syrian Immigrants in the Malta Bazaar of Istanbul: Changing Rules of the Trade Game and Negotiation between the Capitals
Bibliographic record
Abstract
This article examines the socio-spatial transformations of the Malta Bazaar in Istanbul and the new Syrian shopkeepers as potential game changers. We argue that the transformation of the bazaar cannot be seen solely as a commercial venture, but can also be read as a dynamic playground of understanding and tolerance, as well as emerging social, cultural and economic contrasts and tensions. To test these arguments, we designed a field study with an ethnographic approach. The central theme of our research is to read the role of Syrians in the social reproduction of space through potential changes in the rules of the game in a micro-space. We adopted Pierre Bourdieu's concepts of field and habitus to relate the micro-level experiences of actors in space to broader macro contexts. As a result, we concluded that the change in the rules of the game should be defined as a process of mutual uneasiness. What happens in the field at this stage is an attempt to fit into a single space where negotiation rather than cooperation is more prominent and mutual compromises are inevitably made.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.005 |
| 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".