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Record W2113559684 · doi:10.1111/cogs.12118

When Is Perception Top‐Down and When Is It Not? Culture, Narrative, and Attention

2014· article· en· W2113559684 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCognitive Science · 2014
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaAlberta InnovatesUniversity of AlbertaUniversity of Michigan
KeywordsNarrativeMeaning (existential)PsychologyPerceptionTask (project management)Social psychologyCultural diversityCognitive psychologySociologyLinguisticsAnthropology

Abstract

fetched live from OpenAlex

Previous findings in cultural psychology indicated that East Asians are more likely than North Americans to be attentive to contextual information (e.g., Nisbett & Masuda, ). However, to what extent and in which conditions culture influences patterns of attention has not been fully examined. As a result, universal patterns of attention may be obscured, and culturally unique patterns may be wrongly assumed to be constant across situations. By carrying out two cross-cultural studies, we demonstrated that (a) both European Canadians and Japanese attended to moving objects similarly when the task was to simply observe the visual information; however, (b) there were cultural variations in patterns of attention when participants actively engaged in the task by constructing narratives of their observation (narrative construction). These findings suggest that cultural effects are most pronounced in narrative construction conditions, where the need to act in accordance with a culturally shared meaning system is elicited.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.085
GPT teacher head0.379
Teacher spread0.294 · 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