Exploring the Link Between the International Students and the Economic Growth of Turkey
Bibliographic record
Abstract
A compact literature will find pragmatic or normative true consensus on relationships between international students and economic growth whether it is new or not. In this context, the authors see that accumulated systematic knowledge is mostly seen in the literature on the United States of America, Great Britain, and Canada. Those are the countries that most international students have been studying. At this point, what motivated the authors is that the topic needs to be extended to the Turkiye context. To that end, the objective of this study is to examine basic indicators of Türkiye's recent growth in the economy at a glance and its link with international students. Particularly, the background part outlines an overview of exploring questions of what influences economic output, ultimate determinants of growth in the economy, the significance of gross domestic product (GDP), and indicators of economic growth by comparing GDP in current prices with the real GDP systematically referring to the literature. The characteristic of qualitative document analysis methodology dominates this study.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".