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Record W3157233924

Deconstructing Traditional Perspectives in Early Childhood Education: The Influence on Views of Children`s Social Behaviors

2016· article· en· W3157233924 on OpenAlexvenueno aff
Jiwon Kim

Bibliographic record

VenueEarly childhood education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationDevelopmental psychologyEarly childhoodEarly childhood educationSocial competencePsychologyCompetence (human resources)Construct (python library)PostmodernismSocial changeSocial psychologyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

This study reviewed recent efforts to deconstruct developmental psychology in early childhood education, based on the postmodern or poststructural framework, in order to understand its role in the field of early childhood education. Specifically, this study aimed to deconstruct the role of developmentally appropriate practice (DAP) as the dominant discourse in early childhood education, and the subsequent marginalization of families and children from certain groups. Furthermore, this study examined the conceptualization of social competence in early childhood education. Drawing on the notion of social competence as a developmental construct, this study maintains that the assumptions of the standardized, universal description of children`s social behaviors may not fully capture their dynamic and flexible nature in everyday life, and thus more diverse perspectives should be taken into account when elucidating children`s social behaviors.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.030
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.293
Teacher spread0.272 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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