Public Attitudes Toward Immigration in the United States and Canada in Response to the September 11, 2001 “Attack on America”
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 paper, we describe recent trends in attitudes toward immigration in North America, and we suggest how these attitudes are likely to be affected by the September 11, 2001 “Attack on America.” We begin by explaining why public attitudes toward immigration are important, and describe recent trends in these attitudes in the United States and Canada. Then, we apply psychological perspectives to predicting how these attitudes are likely to change in response to the events of September 11th. In particular, we describe expected short‐term changes in immigration attitudes and expected long‐term trends. We conclude by suggesting that an understanding of the psychological processes underlying unfavorable attitudes may assist in counteracting these effects; we also suggest that policy makers will be faced with the difficult task of balancing the need for a sense of security for members of the national group, and maintenance of the positive features of current immigration policies.
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 | 0.001 |
| 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 | 0.000 |
| 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