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Record W4400259282 · doi:10.1080/09669760.2024.2371984

Souring palatable formations in DAP: Toward unfamiliar relations with child development in early childhood teacher education

2024· article· en· W4400259282 on OpenAlexaff
Nicole Land

Bibliographic record

VenueInternational Journal of Early Years Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEarly childhood educationDevelopmental psychologyPsychologyEarly childhoodChild developmentPedagogyMathematics education

Abstract

fetched live from OpenAlex

Drawing upon Ahmed’s (2006) analysis of how institutional documents become nonperforming, this article argues that teacher education must create opportunities for emerging educators to grapple with the pedagogical consequences of understanding the fourth edition of Developmentally Appropriate Practice in Early Childhood Programs (2022) as a nonperforming text. I contend that as DAP works to moderate universalising developmental knowledges in the name of fostering social justice, DAP reproduces taken-for-granted epistemological relations and hierarchies that maintain dominant understandings childhood and early childhood education. First, I position DAP as a nonperforming text and articulate a mode of nonperformance specific to early childhood education: palatability, built of a rhetoric of childhood innocence and a politics of niceness. I then show how two of DAP’s formations of child development enact nonpeformativity through palatability, illustrating how DAP reiterates status-quo connections between child development and early childhood education. To conclude, I propose souring palatability as a proposition that emerging educators might speculate and experiment with while engaging with DAP.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.291
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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