Consumption of Historical Space: Spatial Transformation of Safranbolu Historical Bazaar
Bibliographic record
Abstract
Under the influence of the consumer culture that dominates the relationship between cultural heritage and tourism, competing cities have begun to resemble each other and their identities have been damaged. It is thought that the Safranbolu Historical Bazaar is an example of the process described due to its constant marketing by the tourism industry and the danger of its unique culture being commodified and collapsing. In this study, it is aimed to first examine and reveal the threats to the sustainability of cultural heritage through the relations established by the space with the concepts of production-consumption and tourism, and then to create a framework that will ensure the sustainable development of the transformation that the space undergoes throughout the production process in historical cities. Based on this, the study aims to contribute to the development of alternative conservation approaches for the Historical Bazaar by producing information that will strengthen and transfer the unique value of the space. The study was designed with qualitative research methods and multiple data collection tools were used together. Observations and in-depth interviews were conducted in order to reveal spatial practices. As a result of the evaluations in the Historical Bazaar, it was seen that the transformation of the city was shaped around a heritage discourse that emphasised consumption, and suggestions were presented to contribute to the sustainability of cultural heritage.
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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 | 0.003 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".