Principle and Expediency: The Ku Klux Klan and Ralph Owen Brewster in 1924
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
During the early 1920s the Ku Klux Klan gained considerable support throughout the United States and in Maine. In 1924 Ralph Owen Brewster, later a senator, secured the Republican nomination for governor with the Klan’s support. The dominant issue in the election was whether the state should continue to fund parochial schools. Brewster urged that this aid be ended, and the Klan enthusiastically endorsed his candidacy. Brewster narrowly won the primary and then easily won the September election. In this article John Syrett explores the relation between Brewster and the Klan. Mr. Syrett is a Professor of History and former chair of the Department of History at Trent University in Peterborough, Ontario. He is currently revising his dissertation on the Confiscation Acts during the Civil War for publication. Originally from New York City, he first came to Maine in the 1940s and plans to retire there in the near future.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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