How the Media Frames the Immigration Debate: The Critical Role of Location and Politics
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
The media plays an important role in how the American public understands controversial social and political issues, such as immigration. The purpose of this article is to examine how key features of the media, such as location (Arizona vs. National) and political ideology (Liberal vs. Conservative), affect the framing of arguments supporting and opposing the anti‐immigration bill (Arizona SB 1070). A content analysis was conducted using 3 weeks of newspaper articles from two Arizona newspapers (one Conservative, one Liberal) and five national newspapers (three Conservative, two Liberal). Analyses revealed that both location and political ideology influenced the framing. Specifically, the national newspapers were more likely than Arizona newspapers to frame arguments supporting the bill in terms of threats (e.g., threats to economic and public safety) and to frame arguments against the bill in terms of civil rights issues (e.g., racial profiling). In terms of political ideology, Conservative newspapers were more likely than Liberal newspapers to frame the bill in terms of economic and public safety threats, but did not differ in mentions of civil rights issues. The implications for attitudes toward immigrants and legal ethnic minorities and for defining the boundaries of the American national identity are discussed .
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| 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 it