Uluslararası Koruma Kapsamında Bulunan Afganistan Uyruklu Yabancıların Gelecek Beklentileri: Nevşehir İli Örneği
Bibliographic record
Abstract
There has been more than one migration movement in the history of Türkiye. However, the most comprehensive one of these movements was experienced after the events of the Arab Spring in Syria, which is border neighbor of Türkiye, in 2011. Even though Syrian migrants are more on the agenda of the country due to their numbers, immigration from Afghanistan to Türkiye, especially in recent years, is also noteworthy. In this context, it is one of the important issues that should be researched and addressed. By asking about Syrians in public, “Will they return to their country?”, this study was conducted in response to the question of whether foreigners of Afghanistan nationality will return to their countries or what their expectations are for the future. As a result of the study, it was understood that the majority of the participants left their countries for security and economic reasons. When we look at the country where the participants want to live in the future, although they are happy to live in Türkiye. It has been understood that the desire to obtain citizenship from countries in Europe, the USA, Canada, etc. and to live in these countries is higher.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".