Bibliographic record
Abstract
I argue that there is a unity between Hume’s philosophical reflection and his political views and that many interesting connections can be found that illuminate both aspects of his thought. This paper highlights two of these connections. First, I argue that the conclusions Hume comes to in his political writings are natural outgrowths of his skepticism, a skepticism that recommends limitation of inquiry, modesty, moderation and openness. Most scholars who view Hume’s skepticism as informing his political views see it as supporting a conservative politics, one which is concerned above all to preserve the status quo. I reject the idea that the kind of philosophical skepticism embraced by Hume leads to such conservatism. The second main aspect of the unity of Hume’s thought I discuss concerns that way in which he addresses normative questions in the epistemological and political realms. The question of what resources Hume has to evaluate some beliefs or philosophical systems as better than others, given his skeptical conclusions, is one that has been of central concern for Hume scholars. His evaluations of political systems and governments can be understood in a similar way; the principles we use to evaluate personal beliefs can also be applied in the evaluation of political systems.
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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 | 0.017 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".