On Quine’s Epistemological Objection to Carnap’s Analyticity
Bibliographic record
Abstract
Carnap’s naturalism evidently differs from Quine’s, but the precise nature of this difference has proven elusive. This chapter focuses on what Quine defends as his “provincial” naturalism against a Carnapian “cosmopolitan” alternative. The problem with this contrast, however, is that Quine does not represent a pure form of what he calls a “provincial” view. This is illustrated by his tergiversations about analyticity; after initially denying that there was even an explicandum worth bothering about, he later offered his own ordinary-language-based account of analyticity, without feeling any need to supply a more exact explication; there would appear to be no way to resolve the resulting stand-off with the cosmopolitan standpoint. This paper suggests a more robust explicandum for analyticity (and cosmopolitanism more generally). We come back, in the end, to the confrontation between Carnap and Quine in Chicago in 1950, where Carnap convinced Quine that their differences did not concern any question about which there could be right or wrong, correct or incorrect; it is regretted that Quine soon lost this lesson from sight.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.044 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".