Bibliographic record
Abstract
What distinguishes full-on stating a proposition from merely communicating it? For instance, what distinguishes claiming/asserting/saying that one has never smoked crack cocaine from merely implying/conveying/hinting this? The enormous literature on ‘assertion’ provides many approaches to distinguishing stating from, say, asking and commanding: only the former aims at truth; only the former expresses one’s belief; etc. But this leaves my question unanswered, since in merely communicating a proposition one also aims at truth, expresses a belief, etc. \tMy aim is not to criticize extant accounts of the state-vs.-merely-convey contrast, but rather to draw on clues from Dummett, functional linguistics and moral theory, to offer a novel one. The main idea is that full-on stating is distinctively conventionalized in a way that conversationally implicating, hinting, giving to understand, etc., are not. Specifically, full-on stating is constitutively tied to a particular conventional, linguistic, function-bearing device, the declarative sentence. To full-on state that p is to hit that ‘target speech act’ which owes its existence to that special-purpose device. It is therefore also to make one’s action lie-prone. Nonetheless, once that sui generis target is there to be aimed for, a person may reach it without using the special-purpose tool – e.g., one may full-on state using a mere word or phrase, or coded hand signals, or semaphore. \tI end by considering several philosophical implications of this means of capturing the contrast.
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.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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".