Immigrant Incorporation in an Era of Weak Civic Institutions
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
In this article, the author analyzes five domains of immigrant incorporation and participation in the United States—civic and community engagement among immigrants; naturalization patterns; immigrant (and co-ethnic) partisanship and electoral behaviors; the election of naturalized citizens, and their U.S.-born co-ethnics, as elective officeholders; and immigrant transnational efforts to influence the civic or political life of their communities or countries of origin—in an effort to highlight both the opportunities immigrants and naturalized citizens have seized in U.S. politics and the barriers, particularly, institutional barriers, they continue to face. Although the primary analytical focus is immigrants in the United States, the author is attentive to the challenge raised by Irene Bloemraad (2011 [this issue]) in her introductory article to identify opportunities for comparative insights from the Canadian case. As will be evident, the author ultimately identifies more apples and oranges in the comparison of the U.S. and Canadian cases than peas sharing an analytical pod.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| 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