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Record W4402691687 · doi:10.1017/s0142716424000250

The embodiment of power as upward/downward movement in Chinese-English bilinguals

2024· article· en· W4402691687 on OpenAlexaff
Huilan Yang, J. Reid

Bibliographic record

VenueApplied Psycholinguistics · 2024
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsPsychologyMovement (music)Cognitive psychologyLinguisticsPower (physics)

Abstract

fetched live from OpenAlex

Abstract Using an action compatibility task, we investigated whether POWER is embodied in terms of upward and downward movement in two languages (first and dominant language: Chinese; second language: English). Chinese-English bilinguals were asked to quickly and accurately categorize power-related words (e.g., “boss,” “intern”) as “powerful” or “powerless.” The response to indicate that the word was “powerful” required an upward movement in the compatible condition, while the response to indicate “powerless” involved a downward movement. These responses were reversed in the incompatible condition (“powerful”-downward/“powerless”-upward). When the response actions were compatible rather than incompatible, participants were faster to categorize the words. Furthermore, the action compatibility effect was observed in both languages, but surprisingly the action compatibility effect was larger in their L2. The findings support the psychological reality of the “POWER IS UP” conceptual metaphor that is active when participants process language in both their primary and secondary languages.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.323
Teacher spread0.312 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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