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Record W4320926364 · doi:10.2478/disp-2022-0011

Formalizing English Contextuals

2022· article· en· W4320926364 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDisputatio · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcGill University
FundersMcGill University
KeywordsLinguisticsPredicate (mathematical logic)AmbiguityNounReciprocalConstrualsComputer scienceDeterminerSyntaxIndexicalityMathematicsConstrual level theoryPhilosophyPsychologyProgramming language

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.028
GPT teacher head0.242
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it