Bir erken 20. yüzyıl kent mahallesi için kentsel yenileşme konularının değerlendirilmesi : Kadıköy Yeldeğirmeni
Bibliographic record
Abstract
In the 60s, a new notion gentrification was used as a kind of residential transformation and gained importance in the 1970s and 1980s through the world. The notion used for the quarters invaded by upper income people and transformed to eloquent and expensive quarters after some renewal projects. This process is criticized because of some negative effects such as, displacement of old residents, increase of the prices in the area, appearance of conflict between the people of community and disappearance of social diversity. Different waves of gentrification caused transformations in some urban quarters of ıstanbul. Yeldeğirmeni, as an early 20th century historical urban quarter of Kadıköy, is a potential area that may face with the threat of gentrification in the coming years because of some properties like historical character of the quarter, location that is close to the Kadıköy center, diverse transportation facilities and the existence of pioneers and investors. Considering that sustainable settlements of a city upgrade the environmental quality and life patterns of the inhabitants, provide social unity between them, increase the social consciousness, this thesis proposes a sustainable regeneration model for Yeldeğirmeni to avoid gentrification. ıskele Street in Yeldeğirmeni is selected to make the spatial and social analyses in the quarter. According to these analyses, a pilot regeneration proposal which includes physical needs, physical interventions, functional decisions, social and environmental recommendations and average total cost is provided for ıskele Street. Taking into the pilot regeneration proposal of one street, some decisions are constituted for the regeneration process throughout Yeldeğirmeni.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".