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Record W1994085285 · doi:10.1159/000357235

Meaning and Mind from the Perspective of Dualist versus Relational Worldviews: Implications for the Development of Pointing Gestures

2013· article· en· W1994085285 on OpenAlexaff
Jeremy I. M. Carpendale, Sherrie Atwood, Viktoria A. Kettner

Bibliographic record

VenueHuman Development · 2013
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMeaning (existential)EpistemologyInterpretation (philosophy)Perspective (graphical)PsychologyGestureCognitionEmbodied cognitionRelational theoryCognitive scienceSociologyLinguisticsComputer science

Abstract

fetched live from OpenAlex

Worldviews consist of preconceptions about the nature of mind, knowledge, and meaning, and these assumptions influence theorizing about human development and the interpretation of research. We outline two contrasting worldviews - dualist versus relational - and explicate the implications of such preconceptions for studying the development of pointing gestures. Pointing is a pivotal social skill that is an aspect of social understanding, as well as a foundational form of interaction for language. In studying the development of pointing it is possible to observe how infants develop the social skills required to convey meaning in human ways. Thus, this is an area in which to examine the nature and development of meaning, and an adequate conception of meaning is necessary for theories of language and cognition. We argue that dualist approaches have problems that can be avoided by adopting a relational worldview and the relational developmental systems framework that follows from it, which we suggest is a fruitful approach to theorizing about human development.

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)0.005
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 score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.044
Scholarly communication0.0070.017
Open science0.0020.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.091
GPT teacher head0.345
Teacher spread0.254 · 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

Citations40
Published2013
Admission routes1
Has abstractyes

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