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Record W2536328616 · doi:10.1017/cbo9781107279353.008

The Cultural Transmission of Social Information

2016· book-chapter· en· W2536328616 on OpenAlexaff
Janine Oostenbroek, Harriet Over

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook-chapter
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCopyingCultural transmission in animalsImitationHuman cultureSocial learningCultural learningPsychologySociologyEpistemologySocial psychologyCognitive scienceAnthropologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

Human groups differ not only in the types of tools and artifacts they produce, but also in the ways in which they interact with and behave around each other. Social learning is key to explaining these differences between human groups. However, to date, research on cultural transmission has focused predominately on how imitation and other forms of social learning enable children to learn about the physical world. While this research has yielded important insights into the nature of the cultural transmission process, the picture it provides is incomplete. Here, inspired by anthropological perspectives, we adopt a broader view of culture and emphasize that a group’s culture is not only composed of the tools and artifacts it produces but also the values, norms, attitudes, opinions and beliefs that it holds dear. Using this broader definition of culture, we review the social psychological literature on how children learn about the social world through copying those around them. We hope this integrative review highlights the importance of the more social aspects of cultural transmission and offers a broader view of human culture that will open up new avenues for future research.

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 score0.947
Threshold uncertainty score0.461

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 head0.016
GPT teacher head0.221
Teacher spread0.205 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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