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Record W2046842472 · doi:10.1080/09575140802393827

Where is the (postmodern) child in early childhood education research?

2008· article· en· W2046842472 on OpenAlexaff
Melanie D. Janzen

Bibliographic record

VenueEarly Years Journal of International Research and Development · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPostmodernismEarly childhood educationPedagogyIdentity (music)Early childhoodConversationCurriculumPsychologySociologyDevelopmental psychologyEpistemologyAesthetics

Abstract

fetched live from OpenAlex

Within early years education research there is a lack of research that focuses on the child and that constructs the child as co‐constructor of knowledge, culture and identity. Although there is much writing on early childhood education with regard to teacher practice, pedagogy and curriculum, these discussions are rarely informed by the perspectives of children. The author conducted a review of the literature of prominent early childhood research journals from 2006. This discussion, informed by examples from the literature review, demonstrates the various ways in which children are constructed within research, with specific discussion on the ‘postmodern’ child within early childhood education research, and implications for postmodern research projects with children. This paper is intended to provoke reflection, conversation and research on the ways in which the child is constructed in education research and literature.

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)0.050
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.044
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.008
Science and technology studies0.0130.092
Scholarly communication0.0260.037
Open science0.0020.008
Research integrity0.0050.009
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 head0.062
GPT teacher head0.387
Teacher spread0.326 · 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.

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

Citations34
Published2008
Admission routes1
Has abstractyes

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