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Record W2807514478 · doi:10.7939/r3057d133

The Neural Correlates of Culture, Sociality, and Attention to Context

2016· article· en· W2807514478 on OpenAlexaboutno aff
Matthew Russell

Bibliographic record

VenueUniversity of Alberta Library · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSocialityContext (archaeology)CommunicationPsychologyCognitive psychologyBiologyEcology

Abstract

fetched live from OpenAlex

Recent cultural psychological theory proposes that social orientation differences lead to general differences in attention. Whereas independent cultures (i.e., European Canadians) are thought to see the self as separate from its context, or more generally, process the world analytically and separate objects from their context, interdependent cultures (i.e., Japanese) are thought to see the self as dependent on its surrounding context, or more broadly, have a holistic view of the world and embed objects in their context. Further examining the relationship between culture and attention, I investigated the neural correlates of attention with event related potentials (ERPs) for non-social and social tasks, comparing European Canadian and Japanese participants. I begin this thesis by conceptualizing culture and important cultural frameworks related to current social orientation theory (Chapter 1). I then introduce my research investigating the neural correlates of culture and attention for non-social memory (Chapter 2). Using analytic attention instructions, I asked participants to judge, and later, remember, target animals that were paired with task-irrelevant original (congruent) or novel (incongruent) contexts. I investigated: 1) whether the N400 ERP wave would show an incongruity effect for both cultures, due to retrieved contexts conflicting with later-shown novel contexts, and 2) whether the incongruity effect would more strongly predict performance for Japanese, i.e., reflecting more difficulty ignoring contexts in Japanese. Results showed that both groups exhibited N400 incongruity effects, with Japanese showing more typical N400 topographies. However, incongruent-trial accuracy was only related to a reduction of N400s in Japanese. In Chapter 3, I then investigated the neural correlates of culture and social attention. As a basis for this research, previous behavioral and eye-tracking findings had shown that interdependent cultures tend to be more influenced than independent cultures by background social information. To investigate early attention patterns, I collected ERPs during a task where participants were asked to rate the emotions of central persons within five person emotion lineups. Lineups were either congruent, with all faces showing similar emotions, or incongruent, with central face emotions differing from background face emotions. The behavioral results replicated previous findings, showing that Japanese participants’ ratings were more influenced by background information than European Canadians’. The ERP data also revealed an influence from social incongruence for Japanese, showing increased processing for incongruent lineups (than congruent lineups) in early (the N400) and later (the LPC) semantic ERPs. Such ERP incongruity effects were not seen for European Canadians. Individuals’ independence social orientation beliefs also related to these incongruity effects: Independence social orientation beliefs moderated the two cultures’ early processing patterns. A negative relationship emerged between independence and European Canadians’ N400 incongruity effects, which was not observed in Japanese. Furthermore, Independence social orientation beliefs were negatively related with both groups’ later LPC-based incongruity effects. In addition, while European Canadians did not show N400 or LPC incongruity effects, they still showed evidence of noticing social incongruence through N2 incongruity effects. Together these findings give evidence that social orientation differences also affect early social attention neural patterns. Next in Chapter 4, I investigated how culture and relationship context affect social attention. For this investigation, I collected ERP data during a task where face emotion lineups were deemed to be in close or acquaintance relationships. For neural patterns, I replicated Chapter 3’s findings for acquaintances, with only Japanese showing N400 incongruity effects. Contrasting with these patterns, only European Canadians showed N400 incongruity effects for close relationships. I also replicated Chapter 3’s findings for N2 incongruity effects; European Canadians noticed incongruent social context, evidenced by N2 incongruity effects, regardless if they had N400s or not. In contrast, I found that Japanese had both N2s and N400s or neither. Regarding relationships with cultural beliefs, social orientation beliefs only significantly correlated with N2 incongruity effects for acquaintances. Together these findings suggest that social orientation differences that have been related to attention may be stronger tied to acquaintance relationships. To close, in Chapter 5, I discuss the results of my three studies and implications for our understanding of culture, attention, and social orientation, and discuss neuroscience’s place in cultural psychology.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.263
Teacher spread0.218 · 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 designTheoretical or conceptual
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".

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Citations2
Published2016
Admission routes1
Has abstractyes

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