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Record W4244270811 · doi:10.31234/osf.io/3wu9r

Second language experience impacts first language irony comprehension among bilingual adults

2020· preprint· en· W4244270811 on OpenAlexaff
Mehrgol Tiv, Fiona Deodato, Vincent Rouillard, Sabrina Wiebe, Debra Titone

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsMcGill University
Fundersnot available
KeywordsIronyComprehensionPsychologyLinguisticsLiteral and figurative languageReading comprehensionCognitionLanguage proficiencyContext (archaeology)Cognitive psychologyReading (process)History

Abstract

fetched live from OpenAlex

Recently, core components of irony processing (e.g., mental-state reasoning, executive control, and metalinguistic awareness) have been tentatively linked to bilingual experience. Thus, we investigated whether bilingual experience modulates irony comprehension during first language reading, and also how bilingual adults comprehend irony in positive vs. negative contexts (i.e., ironic compliments vs. criticisms, respectively). We deliver three main findings. First, bilinguals are faster at processing ironic criticisms than ironic compliments, and they find ironic criticisms more sensible than ironic compliments in their L1, much like past findings among monolinguals. Second, individual differences in bilingual experience modulate comprehension of ironic statements. Specifically, readers with high global L2 proficiency find ironic statements more sensible than readers with low global L2 proficiency, regardless of the valence of the preceding context. Third, individual differences in global L2 proficiency further predict the speed of L1 irony comprehension: following a positive scenario, greater global L2 proficiency patterns with faster processing of irony compared to literal statements. Together, these data suggest that second language experience may be linked to irony processing in the first language. While the precise mechanism underlying this relationship remains open, potential sources may be rooted in flexible social cognition or executive functions.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.001

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 head0.023
GPT teacher head0.311
Teacher spread0.288 · 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 designQualitative
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

Citations5
Published2020
Admission routes1
Has abstractyes

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