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Record W2011481918 · doi:10.1080/02699200500135684

A study of humour and communicative intention following right hemisphere stroke

2006· article· en· W2011481918 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

VenueClinical Linguistics & Phonetics · 2006
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsMcGill University
Fundersnot available
KeywordsComprehensionPsychologyLiteral (mathematical logic)Interpersonal communicationRight hemisphereLinguisticsLiteral and figurative languageInterpretation (philosophy)Cognitive psychologyCommunication

Abstract

fetched live from OpenAlex

This research provides further data regarding non-literal language comprehension following right hemisphere damage (RHD). To assess the impact of RHD on the processing of non-literal language, ten participants presenting with RHD and ten matched healthy control participants were administered tasks tapping humour appreciation and pragmatic interpretation of non-literal language. Although the RHD participants exhibited a relatively intact ability to interpret humour from jokes, their use of pragmatic knowledge about interpersonal relationships in discourse was significantly reduced, leading to abnormalities in their understanding of communicative intentions (CI). Results imply that explicitly detailing CI in discourse facilitates RHD participants' comprehension of non-literal language.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0000.000

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 head0.044
GPT teacher head0.383
Teacher spread0.339 · 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