‘Unite against the parasites’: how do white supremacists exploit antisemitism to mobilize non-white groups?
Bibliographic record
Abstract
This article delves into the intricate relationships between two opposing ideological and religious factions: white supremacists and Black supremacists. It analyzes their respective characteristics and shared denominators, focusing on the pivotal role of antisemitism as a cohesive force. Additionally, the study explores the endeavours of white supremacists to mobilize Black supremacists against Jewish people, investigating the orchestrated campaigns and attempts to legitimize violence. By illuminating these dynamics, the article contributes to a deeper comprehension of the complexities within extremist movements and their strategies for advancing their agendas. Addressing gaps in current literature, it emphasizes (a) the connections between white supremacists and Black supremacists; (b) the significance of antisemitism as a unifying factor between these factions; (c) the collaboration between seemingly opposing groups; and (d) the potential ramifications of such alliances.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".