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Record W2080521047 · doi:10.1075/pc.18.2.05val

Unarticulated comparison classes

2010· article· en· W2080521047 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.

Bibliographic record

VenuePragmatics & Cognition · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsSentencePredicate (mathematical logic)IndexicalityLinguisticsUtterancePerspective (graphical)MathematicsPsychologyComputer sciencePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

Relative gradable adjectives (“tall”, “big”) raise serious problems in semantics. First, I explore a few intuitions about relative gradable predicates and clarify some points. Second, I propose a multipropositionalist, Perry-inspired, perspective on relative gradable predicate utterances. Perry’s version of multipropositionalism introduces many different propositions or contents, including indexical content, referential content, and designational content, which are carried by the utterance of a single sentence. It also offers a new approach to relative gradable predicates, and suggests an explanation for the way relative predicates work in linguistic communication and for the divergent intuitions about these predicates. My approach focuses on the cognitive significance of relative gradable sentence utterances.

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: none
Teacher disagreement score0.728
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.037
GPT teacher head0.301
Teacher spread0.264 · 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