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Record W2534999613 · doi:10.1017/cbo9781107279353.010

Neurocognitive Explorations of Social Mimicry

2016· book-chapter· en· W2534999613 on OpenAlexaff
Sukhvinder S. Obhi

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook-chapter
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMimicryImitationPsychologySocial cognitionAction (physics)Cognitive scienceCognitive psychologyNeurocognitiveCognitionSocial neuroscienceSocial psychologyNeuroscienceBiologyEcology

Abstract

fetched live from OpenAlex

Social mimicry is the ubiquitous tendency to copy the bodily movements, expressions, postures and speech patterns of an interaction partner. Since the 1990s social psychologists have studied this phenomenon intensively and have revealed many interesting findings about the factors that moderate mimicry and its consequences. Recently, social cognitive neuroscientists have also begun to study mimicry, with an emphasis on uncovering its mechanistic underpinnings. In particular, mechanisms that have been studied in tasks such as action observation and automatic imitation have been assumed to play a role in social mimicry. Although intuitive, the notion that these mechanisms are common to both tightly controlled laboratory tasks and more naturalistic social mimicry is an assumption that requires empirical investigation. Here, I present recent work that begins to provide this missing empirical link. I contextualize this work with respect to both the social psychology and the cognitive neuroscience literatures.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.934
Threshold uncertainty score0.950

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)0.0000.000

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 head0.057
GPT teacher head0.252
Teacher spread0.195 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2016
Admission routes1
Has abstractyes

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