Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Fred Adams and collaborators advocate a view on which empty-name sentences semantically encode incomplete propositions, but which can be used to conversationally implicate descriptive propositions. This account has come under criticism recently from Marga Reimer and Anthony Everett. Reimer correctly observes that their account does not pass a natural test for conversational implicatures, namely, that an explanation of our intuitions in terms of implicature should be such that we upon hearing it recognize it to be roughly correct. Everett argues that the implicature view provides an explanation of only some of our intuitions, and is in fact incompatible with others, especially those concerning the modal profile of sentences containing empty names. I offer a pragmatist treatment of empty names based upon the recognition that the Gricean distinction between what is said and what is implicated is not exhaustive, and argue that such a solution avoids both Everett's and Reimer's criticisms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it