Bibliographic record
Abstract
Abstract On the surface, one of the main di erences between John Mc- Dowell and Wilfrid Sellars when it comes to their conceptions of intentionality has to do with their respective accounts of meaning. McDowell advocates a relational account of meaning, whereas Sellars holds, on the contrary, that a correct view of intentionality is only possible through a non-relational account of meaning. According to McDowell, Sellars does not consider the possibility of his own relational view because he su ers from a `blind spot'. It is implied that if Sellars saw this possibility, he would see the light and embrace something like McDowell's own account. I would like to argue in this paper that the whole issue goes much deeper than that. Sellars does not su er from a `blind spot' and showing why this is the case should give us an idea of how far apart these two thinkers really are, appearances notwithstanding. It will also reveal that the heart of their disagreement does not consist in a dispute over whether the correct shape of an account of meaning should be relational or not. Sellars's and McDowell's respective outlooks on intentionality di er fundamentally with regards to the concept of objectivity.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.027 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".