Legal Histories as Determinants of Incorporation: Previous Undocumented Experience and Naturalization Propensities Among Immigrants in the United States
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
This article examines how different histories of illegality may influence immigrants’ orientations toward acquiring citizenship in the United States. Findings from the New Immigrant Survey show that having crossed the border without authorization—compared to having no history of illegality—is associated with a higher propensity to naturalize, indicated by an expressed intention to naturalize upon eligibility and, notably, an early undertaking of the naturalization process. In contrast, there is weaker evidence that immigrants who overstayed their visas or worked without authorization differ with regards to naturalization from immigrants with no history of illegality. Results suggest that immigrants who have experienced the greatest degrees of legal insecurity in the past may be among those most likely to seek out full political membership. Thus, this article bears optimistic implications for the integration potential of previously undocumented immigrants, and highlights the importance of making available legal pathways “out of the shadows” and into the political communities of receiving states.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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