C.B. Macpherson and Philosophy, “Crypto” or Otherwise: A Response to Frank Cunningham
Bibliographic record
Abstract
I have a high regard for Frank Cunningham and his work, on socialism, on democratic theory—and on C.B. Macpherson. To take one example, his new introductions to the recent reissues of Macpherson's books from Oxford University Press, including The Political Theory of Possessive Individualism and Democratic Theory: Essays in Retrieval, are excellent. Lucid and informative, they highlight the value Macpherson's ideas hold for contemporary political thought. So I am grateful that he has offered so fulsome a critical response to my book—even though he finds my approach, based on the idea that there is a suppressed philosophical dimension in Macpherson's work, though (dubiously) audacious, to be of limited accuracy or usefulness—indeed ultimately misguided. It results, he claims, in an analysis that “detracts from Macpherson's political-theoretical and political strengths.”
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.011 | 0.019 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.020 | 0.033 |
| Insufficient payload (model declined to judge) | 0.006 | 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".