Reid and the State Conceptual/Nonconceptual Apprehension Distinction: A Reply to Wolterstorff
Bibliographic record
Abstract
There is an interesting controversy in recent literature over the nature of Reid's theory of perception. Interpreters are divided over whether Reid's theory of perception is compatible with an acquaintance model of perception. This article discusses Nicholas Wolterstorff's (2006) objections to the acquaintance interpretation of Reid. I argue that these objections are inadequate insofar as they do not account for the possibility that Reid offers a ‘state conceptual’ – rather than a ‘state nonconceptual’ – acquaintance theory of perception. I provide textual support for thinking that a state conceptual acquaintance interpretation of Reid is a live possibility, and show how such an interpretation is immune to Wolterstorff's criticisms.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.004 | 0.015 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 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".