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The Development of Social Understanding

2015· other· en· W3021458395 on OpenAlexaff
Jeremy I. M. Carpendale, Charlie Lewis

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologySocial cognitionTheory of mindCognitionDeceptionCognitive developmentGestureCognitive scienceMeaning (existential)Cognitive psychologySocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

Abstract Understanding others is an essential aspect of being human. We review research and theory on the development of a range of skills constituting social understanding beginning in infancy with gaze‐following and gestures such as pointing. Given the importance attributed to false belief understanding in preschoolers, we review accounts of this development as well as criticism of these theories. Such debates now extend to current claims that even infants understand others' false beliefs, raising questions about preconceptions of the nature and origins of social awareness. The later developing social skills we turn to next remain relatively neglected in this literature. We discuss contributions from neuroscience for understanding social cognitive development such as neuroimaging and research on mirror neurons. There are many links between social cognition and children's social relations and, in particular, we focus on the key role of language in social cognitive development. We also review ways in which social understanding may influence social conduct and this is linked to the issues of trust and deception, as well as cooperation and moral development. Throughout, we highlight ways that research traditions are influenced by worldviews or preconceptions about the nature of mind, meaning, and knowledge, and emphasize the interconnections between social understanding and all other aspects of human life.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.992

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)0.0090.001

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 head0.090
GPT teacher head0.334
Teacher spread0.244 · 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.

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

Citations46
Published2015
Admission routes1
Has abstractyes

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