Bibliographic record
Abstract
In a letter addressed "To the children of Satan" and mailed to more than twenty US mosques in the wake of Donald Trump's 2016 election victory, an alt-right group calling itself Americans for a Better Way declared " [t]here's a new sheriff in town-President Donald Trump.He's going to cleanse America and make it shine again.And, he's going to start with you Muslims.He's going to do to you Muslims what Hitler did to the Jews" (qtd. in Neiwert 317).This hatefilled missive, which is included in David Neiwert's magisterial Alt-America: The Rise of the Radical Right in the Age of Trump, supports Neiwert's thesis that Trump's presidency has both emboldened and legitimated the far-right movements that helped secure his election.For Neiwert, the rise of American populism cannot be attributed solely to the disenfranchisement caused by unemployment, wage stagnation, and outsourcing (as is argued, for instance, by George Packer's
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".