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Record W2626554074 · doi:10.1075/etc.10.1.06lou

Multimodal simile

2017· article· en· W2626554074 on OpenAlex
Adrian Lou

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

VenueEnglish Text Construction · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSimileMetonymyLinguisticsMetaphorViewpointsMultimodalityPsychologyCommunicationArtPhilosophyVisual arts

Abstract

fetched live from OpenAlex

This paper analyzes the “when” meme, a popular internet meme, which prototypically juxtaposes a when clause with an ostensibly unrelated image. Despite the initial incongruity, I contend this image prompts selective mapping between verbal and visual elements to produce a multimodal simile. First, I attempt to define and more clearly distinguish simile from metaphor. Second, I show how this multimodal simile exhibits unique viewpoint mapping by prompting audiences to subsume viewpoints that are both unfamiliar and bizarre. Third, I connect the like construction in simile with the like reported speech marker to show how both concepts are intimately related. Ultimately, the paper seeks to contribute to studies of simile by bolstering its ties with multimodality, blending, metonymy, viewpoint, and embodiment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.996

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)0.0040.001

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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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