Knowledge, Practical Knowledge, and Intentional Action
Bibliographic record
Abstract
We argue that any strong version of a knowledge condition on intentional action, the practical knowledge principle, on which knowledge of what I am doing (under some description: call it A-ing) is necessary for that A-ing to qualify as an intentional action, is false. Our argument involves a new kind of case, one that centers the agent’s control appropriately and thus improves upon Davidson’s well-known carbon copier case. After discussing this case, offering an initial argument against the knowledge condition, and discussing recent treatments that cover nearby ground, we consider several objections. One we consider at some length maintains that although contemplative knowledge may be disconnected from intentional action, specifically practical knowledge of the sort Anscombe elucidated escapes our argument. We demonstrate that this is not so. Our argument illuminates an important truth, often overlooked in discussions of the knowledge-intentional action relationship: intentional action and knowledge have different levels of permissiveness regarding failure in similar circumstances.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.068 |
| Scholarly communication | 0.008 | 0.017 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".