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Record W2061849441 · doi:10.1080/15248372.2010.544693

Children and Adults Understand That Verbal Irony Interpretation Depends on Listener Knowledge

2011· article· en· W2061849441 on OpenAlexaff
Elizabeth S. Nilsen, Melanie Glenwright, Vanessa Huyder

Bibliographic record

VenueJournal of Cognition and Development · 2011
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of ManitobaUniversity of Waterloo
Fundersnot available
KeywordsPsychologyIronyContext (archaeology)Interpretation (philosophy)Theory of mindStatement (logic)Context effectDevelopmental psychologyCognitive psychologyCognitionSocial psychologyLinguisticsWord (group theory)

Abstract

fetched live from OpenAlex

Incongruity between a positive statement and a negative context is a cue to verbal irony. Two studies examined whether school-age children and adults recognized that listeners require knowledge of context to detect irony. Specifically, the studies investigated whether participants could inhibit their own context knowledge to appropriately gauge listener interpretation of ironic intent when the listener lacked context knowledge. Adults and older children (8- to 10-year-olds), but not younger children (6- to 7-year-olds), demonstrated this recognition; their responses indicated that listeners would be less likely to interpret statements as ironic when the listeners were ignorant to an incongruent context compared with when they were knowledgeable. Second-order theory-of-mind reasoning was related to the older children's ability to shift their responses regarding listener inferences of ironic statements based on the listeners' knowledge of context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.277
Teacher spread0.239 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations86
Published2011
Admission routes1
Has abstractyes

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