Immigration and National Identity in Obama's America: The Expansion of Culture-War Politics
Bibliographic record
Abstract
Abstract: The culture-war issues salient in US politics in the 1990s and early 2000s were typified by debates over the legality and morality of abortion and same-sex marriage. Immigration, in contrast, has been an intermittent issue, not as polarized as many others. That changed with the candidacy and then election of Barack Obama to the presidency. While anti-abortion and “pro-family” activism has continued, there is a new public focus on a vision of “America” that depends upon a conflation of race, religion, and national identity. This has helped transform immigration into a highly charged, highly polarized culture-war-style issue and has facilitated the lasting resonance of the construction of Obama as Muslim, as born in Kenya, as not a citizen, and as both a socialist and a fascist simultaneously. Drawing on popular media discourse and material from Tea Party and immigration reform web sites, I explore the construction of American national identity in terms of its ethno-cultural articulations.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".