David Frum - Conservative Author, Former Presidential Speechwriter
Bibliographic record
Abstract
David Frum is best known as an advocate for the reform and modernization of the Republican party. He is a contributing editor for Newsweek and The Daily Beast and is also a CNN contributor. Frum serves on the board of directors of the Republican Jewish Coalition and as vice chairman and an associate fellow of the R Street Institute. Frum is the author of eight books including most recently the e-book, Why Romney Lost, and his first novel, Patriots. From 2001 to 2002, Frum served as speechwriter and special assistant to President George W. Bush. From 2007 to 2008, he was a senior policy adviser to the Giuliani-for-president campaign. Frum is Canadian-American but was a citizen of Canada when he joined the Bush administration. Not afraid to challenge his own party, Frum expressed intense dissatisfaction with supply-siders, evangelicals, and nearly all Republican politicians in his 1994 book Dead Right. In a 2009 Newsweek column entitled Why Rush Is Wrong, Frum defended his conservatism and challenged the country’s most vocal conservative broadcaster. His editorial columns have appeared in a variety of Canadian and American magazines and newspapers, including the National Post and The Week. A volunteer for the Reagan campaign in 1980, Frum is proud that he’s attended every Republican convention since 1988, was president of the Federalist Society chapter of his law school, and worked as editorial page editor of The Wall Street Journal from 1989 to 1992. Frum graduated from Yale University in 1982 with simultaneous Bachelor and Master of Arts degrees in history.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.056 |
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".