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Record W2980585772 · doi:10.1075/sl.18062.duf

<i>Must/need, may/can</i> and the scope of the modal auxiliary

2019· article· en· W2980585772 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

VenueStudies in Language · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNegationInfinitiveSubject (documents)LinguisticsMeaning (existential)Modal verbConflationModality (human–computer interaction)LexicalizationPhilosophyEpistemologyArgument (complex analysis)Realization (probability)Natural (archaeology)Computer scienceVerbArtificial intelligenceMathematicsHistory

Abstract

fetched live from OpenAlex

Abstract This article argues that the logical paraphrases used to describe the meanings of must, need, may , and can obscure the natural-language semantic interaction between these verbs and negation. The purported non-negatability of must is argued to be an illusion created by the indicative-mood paraphrase ‘is necessary’, which treats the necessity as a reality rather than a non-reality. It is proposed that negation coalesces with the modality that must itself expresses to produce a negatively-charged version of must ’s modality: the subject of musn’t is represented as being in a state of constraint in which the only possibility open to the subject is oriented in the opposite direction to the realization of the infinitive’s event. The study also constitutes an argument against a lexicalization analysis: in the combination mustn’t, must and not each contribute their own meaning to the resultant sense, but according to their conceptual status as inherently irrealis notions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.297

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.317
Teacher spread0.299 · 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