Hume as Regularity Theorist—After All! Completing a Counter-Revolution
Bibliographic record
Abstract
Abstract: Traditionally, Hume has widely been viewed as the standard-bearer for regularity accounts of causation. But between 1983 and 1990, two rival interpretations appeared—namely the skeptical realism of Wright, Craig, and Strawson, and the quasi-realist projectivism of Blackburn—and since then the interpretative debate has been dominated by the contest between these three approaches, with projectivism recently appearing the likely winner. This paper argues that the controversy largely arose from a fundamental mistake, namely, the assumption that Hume is committed to the subjectivity of our conception of causal necessity. That assumption generated tensions within the regularity account, which the skeptical realist and quasi-realist alternatives, in very different ways, purported to resolve. But a broader and more balanced view of the textual evidence, taking due account of the relatively neglected sections where Hume applies the results of his analysis, tells strongly in favour of an objectivist regularity view, both in respect of causation and causal necessity. Despite some complications, the upshot is a far more straightforward reading of Hume than those that have hitherto dominated this long-running debate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".