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Record W1996784250 · doi:10.1080/00221325.2012.659233

Theory of Mind Understanding and Conversational Patterns in Middle Childhood

2013· article· en· W1996784250 on OpenAlexaff
Sandra Bosacki

Bibliographic record

VenueThe Journal of Genetic Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsBrock University
Fundersnot available
KeywordsSocioemotional selectivity theoryPsychologyFeelingPerceptionDevelopmental psychologyActive listeningTheory of mindLongitudinal studySocial cognitionCognitionSocial psychology

Abstract

fetched live from OpenAlex

The author investigated the longitudinal relations between theory of mind (ToM) understanding and perceptions of self and social conversations in 17 school-aged children (12 girls, 5 boys, age 8-12 years). ToM was assessed at Time 1 (T1; M age = 8 years 5 months, SD = 8.7 months, and perceptions of self and conversational experiences assessed two years later at Time 2 (T2; M age = 10 years 4 months, SD = 7.9 months. Most importantly, longitudinal findings showed that children who scored relatively high on ToM at T1 reported relatively lower perceptions of self-worth and higher number of mental states verbs in their perceptions of peer and family conversations at T2. Significant negative longitudinal associations were found between children's number of siblings and their perceptions of self-worth (T1) and number of cognitive terms in their perceptions of peer and family conversations (T2). Frequency analysis suggested that girls' perceptions of conversations referred to more social and psychological aspects of self and relationships, whereas boys focused mainly on physical activities. Most children were more likely to prefer listening to talking during social conversations. The majority of children reported feelings of mixed or ambiguous emotions during experiences of silence. Implications for socioemotional and cognitive development in early adolescents are discussed.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.050
GPT teacher head0.285
Teacher spread0.235 · 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 designObservational
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".

Quick stats

Citations38
Published2013
Admission routes1
Has abstractyes

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