Right-Wing Populism and the Politics of Insecurity: How President Trump Frames Migrants as Collective Threats
Bibliographic record
Abstract
Despite the recent multiplication of publications on populism, an area that remains underexplored is the relationship between populism and the politics of insecurity, which refers to how perceived collective threats are framed and acted upon. The main objective of this article is to formulate an ideational framework for the analysis of populism as it intersects with the politics of insecurity. More specifically, the article focuses on right-wing populism, turning to the framing of migrants in the United States during the Trump presidency to illustrate specific claims about the relationship between populism and the politics of insecurity. As argued, the political framing of collective threats is a central aspect of populism. The role of framing points to the ideational side of populism, which is not a coherent ideology but a type of discourse through which perceived threats are strategically framed to both exacerbate collective insecurity and gather popular support by promising to shield citizens against these threats.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".