Key Factors for Student Recruitment: The Issue of University Branding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Considering the number of universities and the size of the young population targeted for higher education in Turkey, there is an urgent need for further research studies on university branding efforts. The aim of this exploratory research study is to explore specific factors/criteria that Turkish students consider during the process of selecting a graduate degree program at a university in the USA and to contribute to the limited research in the area of university branding. The Analytic Hierarchy Process (AHP), which is a structured technique for analyzing complex, multi-criteria decisions, has been used for this research. Surveys were applied to students in order to discover specific factors/criteria that Turkish students employ during the process of selecting a graduate degree program at a university in the USA. In this study, there are many decision-criterias that need to be taken into consideration and each criterion must be analyzed with respect to a specific university. The in-depth interviews with professors/education counselors, student survey applications, and the analysis of previous stream of related research has led to identification of criterias to be used in the study. Following the pairwise comparisons, a survey has been designed to assess the relative superiority of the 12-criteria in the model. The most prominent criteria during the process of selecting a graduate degree program was reported as “Post Graduation Job and Career Prospects”. The findings of this study can be used to support those who have the intention to develop a successful university brand.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it