Bibliographic record
Abstract
For nearly half a century, Quentin Skinner has been the world's foremost interpreter of Thomas Hobbes. When the contextualist mode of intellectual history now known as the “Cambridge School” was first asserting itself in the 1960s, the life and writings of John Locke were the primary topic for pioneers such as Peter Laslett and John Dunn. At that time, Hobbes was still the plaything of philosophers and political scientists, virtually all of whom wrote in an ahistorical, textual-analytic manner. Hobbes had not been the subject of serious contextual research for decades, since the foundational writings of Ferdinand Tönnies. For Skinner, he was thus an ideal subject, providing a space for original research on a major figure, and an occasion for some polemically charged methodological manifestos. Both of these purposes animated his 1965 article “History and Ideology in the English Revolution,” and his 1966 article “The Ideological Context of Hobbes's Political Thought”. The latter of these remains to this day one of the most widely cited scholarly articles in the fifty-year run of Cambridge'sHistorical Journal. Among other results of these early efforts was the scholarly controversy during which Howard Warrender chided Skinner for having reduced the “classic texts in political philosophy” to mere “tracts for the times”.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".