MétaCan
Menu
Back to cohort
Record W4391608278 · doi:10.1163/18773109-01601003

Unconditionally conditional

2024· article· en· W4391608278 on OpenAlexaff
Patrick Duffley, Pierre Larrivée

Bibliographic record

VenueInternational Review of Pragmatics · 2024
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInterrogativeLinguisticsUtteranceInterrogative wordEpistemic modalityImplicatureSemantics (computer science)Perspective (graphical)PragmaticsMathematicsPsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract The purpose of this study is to assess from a corpus-based discourse-pragmatic perspective certain claims made in the literature concerning English wh - concessive conditional constructions (e.g. Whoever / No matter who comes to the party, it will be fun ), namely that these utterance-types correlate with interrogative semantics, scalarity and potential modality. By means of an extensive investigation of corpus data these claims are shown to be largely unsupported by attested usage. Based on Dancygier and Sweetser’s classification of conditional constructions, it is found that potential modality is paradigmatic only of content-level concessive conditionals, and not of the epistemic, speech-act or metalinguistic varieties. Contrary to claims in the literature, scalarity is demonstrated to not be typical of wh - concessive conditionals. The lack of scalarity in most wh - concessive conditionals is argued to cast into doubt the category label “concessive conditional” applied to these constructions in a substantial part of the literature and to favour an alternative designation such as “irrelevance conditional.” The empirical data further reveals that wh - concessive conditionals practically never involve pure ignorance, and this is argued to be problematic on the discourse-pragmatic level for the claim that they have interrogative semantics.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.999

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)0.0310.002

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 head0.021
GPT teacher head0.364
Teacher spread0.344 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Review of PragmaticsSame topicLanguage, Metaphor, and CognitionFrench-language works237,207