Economic Costs, Economic Benefits, and Attitudes Toward Immigrants and Immigration
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
Perceptions of economic costs and benefits play an important role in determining attitudes toward immigrants and immigration. The Unified Instrumental Model of Group Conflict, and the correlational and experimental research supporting it, indicate that when immigrants are seen as competing with members of the host society for economic resources, negative attitudes toward immigrants and immigration result. Yet measures taken to reduce this perceived competition and threat can have unforeseen consequences. Recent bills intended to reduce illegal immigration in U.S. states, such as Arizona's Senate Bill 1070 and Georgia's House Bill 87, have been framed by supporters as intended to reduce the economic costs of illegal immigration. Their consequences, however, have been increased economic hardship in the form of economic boycotts and lost farm production. We suggest that recognizing the mutual dependency between immigrants and members of host societies may be a first step in reducing support for harsh measures against illegal immigration, to the benefit of all.
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 | 0.000 |
| 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 | 0.001 |
| 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