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Record W2170019383 · doi:10.1017/s0140525x04600033

Constructing understanding, with feeling

2004· article· en· W2170019383 on OpenAlexaff
Jeremy I. M. Carpendale, Charlie Lewis

Bibliographic record

VenueBehavioral and Brain Sciences · 2004
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFeelingPsychologyNothingEpistemologyTheory of mindDimension (graph theory)Point (geometry)Cognitive psychologyCognitive scienceSocial psychologyCognitionPhilosophyMathematics

Abstract

fetched live from OpenAlex

Abstract: We explore three types of criticisms of our theory on the development of children's social understanding. We reject suggestions that we offer nothing new to traditional theories of development or recent “social” accounts of “theory of mind.” Second, we take the point that there are grounds for improving our account of dyadic interaction in infancy but reject claims that we have not sufficiently accounted for how we incorporate the notions of criteria and structure into the theory. Third, we accept that the epistemic triangle, as defined, would benefit from an affective dimension and such a formulation could be used to describe the dynamic of developmental change from infancy to beyond early childhood. We still feel that the combination of Wittgenstein, Vygotsky, and Piaget remains as an antidote to the flaws in current “theories of mind” approaches to social understanding.

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)0.004
metaresearch head score (Gemma)0.007
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.028
Scholarly communication0.0090.014
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.111
GPT teacher head0.353
Teacher spread0.242 · 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".

Quick stats

Citations9
Published2004
Admission routes1
Has abstractyes

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