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
In Making It Explicit (1994) Robert Brandom claims that we may distinguish those linguistic expressions with object-representational purport — the singular terms — from others merely by the structure of their inferential relations. A good part of his inferentialist program rests on this claim. At first blush it can seem implausible: linguistic expressions stand in inferential relations to each other, so how could we appeal to those relations to decide on the obtaining of what seems to be relation between linguistic expressions and objects in general (viz., x purports to represent y)? It is perhaps not surprising then that Brandom's proposal fails. But it definitely is surprising how it fails. The problem is that in order to specify the sort of generality there is to an expression's inferential role, one must appeal to some version of the traditional distinction between extensional and nonextensional occurrences of expressions, and there appears to be no way to draw anything like that distinction in inferentialist terms. For the inferential proprieties governing the different occurrences an expression can have are so varied that they do not determine a binary partition of those occurrences.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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