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 The paper shows that contextuals, words such as those discussed by Richard Vallée in his paper, “On local bars and imported beer”, include not only adjectives and nouns but also verbs, prepositions and adverbs. It shows, moreover, contextuals form just one subclass of words whose complements are optional, that is, words analogous to polyadic predicates of predicate logic. Just as different words, when their complements are omitted, give rise to reflexive ( to wash ), reciprocal ( to meet ) and indefinite ( to eat ) construals, so contextuals give rise to an indexical construal. The paper sets out how such optional complements, or polyadic predicates, as it were, can be handled completely with the syntax and semantics of English, without recourse to special pragmatic principles, lexical ambiguity or phonetically null elements. Though not discussed here, the approach nonetheless applies, it seems, to other languages, such as Chinese.
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 | 0.001 | 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) | 0.005 | 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