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Record W3111977747 · doi:10.1017/s0142716420000612

Effects of aging and noncanonical form presentation on idiom processing: Evidence from eye tracking

2020· article· en· W3111977747 on OpenAlexaff
Katja I. Haeuser, Shari R. Baum, Debra Titone

Bibliographic record

VenueApplied Psycholinguistics · 2020
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsMcGill University
Fundersnot available
KeywordsLiteral and figurative languagePsychologyComprehensionSentenceLiteral (mathematical logic)Reading (process)LinguisticsPresentation (obstetrics)PhraseEye trackingInterpretation (philosophy)Affect (linguistics)Cognitive psychologyCommunicationComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Comprehending idioms (e.g., bite the bullet ) requires that people appreciate their figurative meanings while suppressing literal interpretations of the phrase. While much is known about idioms, an open question is how healthy aging and noncanonical form presentation affect idiom comprehension when the task is to read sentences silently for comprehension. Here, younger and older adults read sentences containing idioms or literal phrases, while we monitored their eye movements. Idioms were presented in a canonical or a noncanonical form (e.g., bite the iron bullet ). To assess whether people integrate figurative or literal interpretations of idioms, a disambiguating region that was figuratively or literally biased followed the idiom in each sentence. During early stages of reading, older adults showed facilitation for canonical idioms, suggesting a greater sensitivity to stored idiomatic forms. During later stages of reading, older adults showed slower reading times when canonical idioms were biased toward their literal interpretation, suggesting they were more likely to interpret idioms figuratively on the first pass. In contrast, noncanonical form presentation slowed comprehension of figurative meanings comparably in younger and older participants. We conclude that idioms may be more strongly entrenched in older adults, and that noncanonical form presentation slows comprehension of figurative meanings.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.721

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)0.0000.000

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 head0.040
GPT teacher head0.358
Teacher spread0.318 · 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 teacher head, not a consensus.

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

Citations16
Published2020
Admission routes1
Has abstractyes

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