Bibliographic record
Abstract
Beginning with an analysis of the problematic relation of ‘the particular’ to ‘the universal’ in canonical political texts, this paper explores a variety of frameworks for the study of classical Greek political thought. Specifically, after investigating the influence of Quentin Skinner’s contextualism, the paper examines the ideas, approaches, and methods of Bernard Williams, Leo Strauss, and Josiah Ober. I draw attention to each figure’s distinctive motivations for returning to ancient Greece and to the influence of particular political ideals on those motivations. I also assess their strengths and weaknesses and offer a critical commentary on their chief ideas. Toward the end of the paper, I outline a novel dialectical framework for the study of classical Athens – one that emphasizes the remoteness of the ancient past and the contribution that our studies might make to self-knowledge. In sketching this framework, I focus on what I call ‘ethical Athens’, ‘philosophical Athens’, and ‘critical Athens’.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".