Uncertainty, Threat, and the Role of the Media in Promoting the Dehumanization of Immigrants and Refugees
Bibliographic record
Abstract
Immigration policies and the treatment of immigrants and refugees are contentious issues involving uncertainty and unease. The media may take advantage of this uncertainty to create a crisis mentality in which immigrants and refugees are portrayed as “enemies at the gate” who are attempting to invade Western nations. Although it has been suggested that such depictions promote the dehumanization of immigrants and refugees, there has been little direct evidence for this claim. Our program of research addresses this gap by examining the effects of common media portrayals of immigrants and refugees on dehumanization and its consequences. These portrayals include depictions that suggest that immigrants spread infectious diseases, that refugee claimants are often bogus, and that terrorists may gain entry to western nations disguised as refugees. We conclude by discussing the implications of the findings for understanding how uncertainty may lead to dehumanization, and for establishing government policies and practices that counteract such effects.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".