Defending Russell’s Theory of Definite Descriptions Against a Strawsonian Attack
Bibliographic record
Abstract
Although Russell’s theory of definite descriptions is highlyappreciated in the area of philosophy of language, it has faced some objections from different angles. One of the major objections is known as the objection arising from incomplete definite descriptions. According to this objection, a speaker by his/her utterance of a sentence containing an incomplete definite description often succeeds in saying something true despite the fact that such a sentence always expresses a false proposition. This particular objection against Russell’s theory arises because of an ignorance concerning the distinction between the meaning of a sentence and the assertion made by a speaker by using that sentence in a particular context. To address this distinction between meaning and assertion Scott Soames’ theory concerning the connection between meaning and assertion has been adopted. With the help of this theory, it has been shown that the problem arising from incomplete definite descriptions does not pose a genuine threat to Russell’s theory. Philosophy and Progress, Vol#73-74; No#1-2; Jan-Dec 2023 P 317-336
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".