Türkiyeden Nitelikli İşgücü Göçü
Bibliographic record
Abstract
This thesis explores the factors shaping skilled workers’ emigration decisions from Turkey. It draws on qualitative research that collected primary data from 44 semi-structured interviews conducted with university graduates that either emigrated or were planning to emigrate at the time of the research, between April-May 2018. The interviewees prefer to migrate to countries where they thought they would be able to practice their basic rights and liberties. European Countries, specifically the Netherlands and England, also Canada are the most preferred places of destination. Job application is the most frequently used means of trying to start a new life abroad, followed by higher education applications, and visa applications of several kinds. This research emphasizes the interconnectivities between economic and political power and the resulting conditions underpinning emigration decisions in modern societies. Political conditions figure as important factors shaping emigration decisions from Turkey. The interviewees’ perceptions about the practices of basic rights and liberties, the rule of law, religious conservatism and the quality of the education services feature as prominent grounds for emigration. Significantly, the thesis finds that skilled workers are prepared to live in more modest economic living conditions than they are accustomed to in Turkey. Findings in this thesis are compatible with those from comparative international research on skilled labour emigration which draw attention to the rising importance of political conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.001 |
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".