Bibliographic record
Abstract
The connection between Australia and Irving Kristol, 'the godfather of neoconservatism', is not obvious. Having politely but firmly rejected repeated invitations to do so, he has never visited the country. He has never written about it. Australia - along with a great deal of the rest of the Earth's surface, including Asia, Latin America, Africa and Canada - does not claim his serious attention, which is reserved for what goes on in the United States, Europe and Israel. I am the only Australian who has had a sustained working relationship with Irving, but he has shown a warmer interest in my original Welshness than in my acquired Australianness. (Not that Wales has a vital grip on his imagination either. True, he and Bea [the distinguished historian Gertrude Himmelfarb, Irving Kristol's wife] did visit the country once, when they were based in London in the 1950s. But when they got there, they managed to stay in the least Welsh place it was possible to find in the principality: the eccentric Italianate 'village' created by Clough Williams-Ellis at Portmeirion, a location where one was more likely to meet Noel Coward than the Reverend Eli Jenkins.)
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".