Bibliographic record
Abstract
Did Donald Davidson agree with G.E.M. Anscombe that action requires a distinctive form of agential awareness? The answer is No, at least according to the standard interpretation of Davidson’s account of action. A careful study of Davidson’s early writings, however, reveals a much more subtle conception of the role of agential belief in action. While the role of the general belief in Davidson’s theory is familiar and has been much discussed, virtually no attention has been paid to the singular belief. This essay makes a start on remedying this neglect. I begin, in section 1, by examining Davidson’s claim that for a desire or belief to rationalize and cause an action it must have a suitable generality. It must, he says, be ‘logically independent’ of the action itself. While he was clear about this requirement in the case of the desire that forms part of a person’s primary reason, I show in section 2 that his early treatment of belief confuses general and singular beliefs. This confusion reflects his failure clearly to distinguish the two roles belief can play in his account of action: as rationalizing cause and as agential awareness. Somewhat surprisingly, though, after he carefully drew the distinction and announced that intentional action requires practical knowledge, he pretty much ignored it. This may explain why some have assumed that Davidson parted ways with Anscombe on this. But a careful study of their writings shows that in fact they held remarkably similar views on the nature and need for practical knowledge.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".