Citizenship acquisition of Turkish immigrants in Canada and Germany: a comparative analysis
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
Abstract This study aims to shed light on how high-skilled and business Turkish immigrants (HSBTI) decide to acquire host country’s citizenship and why some of them choose not to seek naturalization. With this in mind, a comparative case study of Canada and Germany was designed. It is proposed that host country citizenship and migration policy, social, economic and political costs and benefits of host country’s citizenship and individuals’ conceptualization of citizenship impact the decision-making process of HSBTI. Based on the data results, the study argues that social, economic and political opportunities in host countries (such as the right to vote), multicultural migration and citizenship policies of those countries and valuing citizenship as a commodity positively influence the naturalization decisions of HSBTI interviewees, while restricted policies, economic costs of citizenship and seeing citizenship as a sense of belonging adversely affect their decisions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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