Re-Discovering the Importance of Citizenship Through Immigrants' Experiences: Naturalization and Political Integration in Padua, Italy
Bibliographic record
Abstract
This paper focuses on processes of political integration for immigrants in the Italian context, constituting as it does an understudied topic. It does so by looking at one specific community, Albanian immigrants, who have been typically heavily stigmatized. While Albanian immigration in Italy has been a focus of previous research, no consideration so far has been given to naturalization and its influence on other political processes at the level of immigrants’ daily lives. Through the meanings which participants of this research attribute to citizenship and their acting as political agents, the paper unpacks the relations between this "status passage" (Glaser and Strauss 1971) and the political integration of immigrants. The findings show a very complex picture in which multiple factors and interactions play an important role. Legally speaking, Italian citizenship is a pre-condition for immigrants to enjoy the right to vote in elections at all levels, which participants considered a significant indicator of their political integration. Therefore, the political integration of immigrants is heavily conditioned by naturalization, which gives access to political rights, voice and representation as regulated at the state level. However, when considering the role of age and social capital in processes of political integration, there is also reason to believe that the political mobilization and participation of the youngest and most well-educated participants is not as exclusively attached to such formal recognition as a political subject.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".