Becoming and Belonging?: Lived experiences of naturalization and the implementation of citizenship law in Germany and Canada
Bibliographic record
Abstract
<table><tbody><tr><td> Naturalization, the acquisition of citizenship, constitutes the final step of a migrant’s formal integration process. For many, becoming a citizen means gaining civic rights, protection from deportation, and freedom of movement. Citizenship policies are often interpreted as a reflection of a country's identity – what it values in a citizen – and are commonly used as an indicator of a country's general approach to immigration. Naturalization literature has long sought to determine and evaluate the precise factors deciding whether someone will become a citizen.<br>This dissertation examines the process of citizenship acquisition, its impact on the individual naturalizing and the experiences of those enforcing citizenship policy day-to-day. It asks how someone acquires citizenship formally, administratively, and emotionally and how that citizenship is interpreted. How is citizenship law put into action? Does becoming a citizen mean that someone feels like they belong to that country? Employing a bottom-up approach, this research studies the implementation of citizenship policy utilizing in-depth interviews with both new citizens and street-level bureaucrats in Germany and Canada. It combines theoretical and methodological approaches from public administration, political science and socio-legal studies incorporating questions of discretion and the perception thereof, definitions of citizenship, and legal consciousness. </td></tr></tbody></table>
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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 | 0.000 |
| 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 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".