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Record W2801373606 · doi:10.4102/sajce.v8i1.594

Infant and toddler educare: A challenge to neoliberalism

2018· article· en· W2801373606 on OpenAlexaff
Margaret Sims, Elise Alexander, Mari Nislin, Karma Pedey, Lavinia Tausere Tiko, Nina Sajaniemi

Bibliographic record

VenueSouth African Journal of Childhood Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsNeoliberalism (international relations)Early childhood educationSociologyArgument (complex analysis)Early childhoodContext (archaeology)AccountabilityPedagogyPsychologySocial scienceDevelopmental psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

We contend that the conventions, practices and philosophies underpinning working with infants and toddlers provide an alternative way of viewing early childhood work, and such a perspective may well help to challenge the ‘wicked problem’ of neoliberalism. It is in this context that we propose that a deeper understanding of the perspectives of those professionals working with our youngest children in a range of different countries may inform a wider resistance to neoliberalism across all of early childhood. We seek, in this article, to share the voices of early childhood professionals reflecting on the manner in which they understand work with infants and toddlers, and how this relates to their understanding of issues related to education and care. We hope this exploration will lead us into further refining our argument that infant and toddler pedagogy has the potential to challenge the hegemony of neoliberalism in early childhood. Our dream is to steer early childhood away from the tyranny of standardisation, accountability and economic rationality into a space where children are valued for being, where individuality and diversity flourish, where learning academics is one (relatively unimportant) element amongst many others and where relationships and participation (and dare we say, happiness) reign supreme.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.285
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 teacher head, 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

Citations22
Published2018
Admission routes1
Has abstractyes

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