Examining the Branding of Turkish Universities in the Context of Socioeconomic Development of Their Cities
Bibliographic record
Abstract
The purpose of this study is to investigate the branding processes of universities in Turkey with the consideration of the context of cities where the universities are located. This research is conducted to respond to this question: How is the branding process of Turkish universities in the context of the branding of their cities? Data constructed in accordance with qualitative approach were collected through document analysis technique. The study is structured based on a descriptive method. In the study, universities’ branding process is assessed based on the related literature, the ratio of being chosen, base points for entry, and the number of students, faculty staff and faculties. According to the result of the study, the branding processes of Turkish universities are overshadowed by the branding of their cities. In addition, factors, including universities’ faculty sources, the number of students and base point for entry, which are considered to be important for the branding of universities, are differentiated depending on the context of the cities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".