“ ’What’s Gone and What’s Past Help...’: Oakeshott and Strauss on Historical Explanation”
Bibliographic record
Abstract
Abstract Because of the public identification of both Michael Oakeshott and Leo Strauss as conservative political philosophers, there have been numerous comparisons of their political thought. Whatever similarities or differences that do exist between them, it is certainly true that they shared a keen interest in the history of political thought. However, they understood the character of history in widely divergent ways. In the following paper, I examine the way in which each writer understood the logic of historical explanation, and there are two primary reasons for wanting to do so. First, there have been few examinations of either writer’s arguments concerning historical understanding, despite the stature of both as historians of political theory. Second, the differences between Oakeshott and Strauss on history are central to two fundamentally opposed ways of understanding the past, each of which has manifested itself in the contemporary practice of the history of political thought. I will argue that Strauss’s approach to the past is primarily a practical one and yields a concern with a legendary or mythical past constructed primarily to address contemporary political problems, and that his specific methodological propositions are either irrelevant to a specifically historical understanding of the past or inadequately argued and unconvincing. Conversely, I will suggest that Oakeshott offers a coherent and compelling account of the logic of historical understanding, which involves both a defense of the autonomy of historical explanation and an elaboration of the character of historical contextualism.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.037 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| 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".