The empirical role of social capital on urban transformation: a case study of istanbul
Bibliographic record
Abstract
The purpose of this study is to test the validity of the social capital knowledge that belongs to the local business community as an instrument for the formation of the initial strategies of urban transformation and to test the effect of independent variables in the formation of such social capital.This study takes as its point of departure the recently increasing interest in the role of social capital in planning and development, and the need for access to embedded knowledge in the sites of urban transformation.The lack of field data makes managing implementations of urban transformation difficult, and these implementations are not supported by appropriate policies.It is important to study this issue in İstanbul, which is going through the process of urban transformation and harbors a variety of resources for social capital due to its unique conditions.The hypothesis of this study, which aims to contribute to research being conducted in the field, is that the levels of security, belonging, awareness, and expectations inherent in social capital can change according to the profile of the small business community and according to the characteristics of the physical capital in sites of urban transformation.In this study, conducted in 2012, data from the neighborhood of Çeliktepe were collected using 'mixed methods social research.'
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".