“WAGGING THE DOG”: FEIGNING CRISIS IN U.S. ANTI-MIGRATION NARRATIVES TO CREATE CRISIS
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
Anti-migration narratives are sweeping around the world, often accompanied by support for racist ideologies. The narratives usually involve some false claim that those seeking to enter the country are presumptively dangerous. Such narratives are obviously not new, but they are arguably being presented in evolving ways and having evolving, and deeply troubling, practical and legal effects. In the U.S., migrants being held in horrific “camp” conditions represent just the latest in a series of anti-migrant measures, each arguably worse than the last. This phenomenon is not limited to the U.S., but that example provides a strong vehicle for demonstrating this larger transnational trend. This article argues that harmful anti-migrant narratives are having significant, adverse effects on human rights and foundational legal norms.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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