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Record W2577258153 · doi:10.1177/1463949116677498

Recognizing politics in the nursery: Early childhood education institutions as sites of mundane politics

2016· article· en· W2577258153 on OpenAlexfundno aff
Zsuzsa Millei, Kirsi Pauliina Kallio

Bibliographic record

VenueContemporary Issues in Early Childhood · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsnot available
FundersInternational Council for Canadian Studies
KeywordsPoliticsAgency (philosophy)Argument (complex analysis)IdeologySociologyIgnorancePolitical communicationDemocracyPolitical scienceSocial scienceLawMedicine

Abstract

fetched live from OpenAlex

In his inspirational article titled ‘Bringing politics into the nursery’, Peter Moss argues for early childhood institutions to become places of ‘democratic political practice’. In this article, the authors add to Moss’s call and argue that these institutions are sites of ‘mundane political practice’, containing various attitudinal orientations and ideologies, and including many kinds of purposive activities. Recognizing different dimensions of political life in institutional spaces where children lead their lives requires a differentiation between two types of politics: first, official politics and policies that aim to institute certain ideals in early childhood education and care and, second, everyday politics unfolding in communities that involve people as political subjects from birth until death. When the latter is discussed in early childhood research, if at all, it is rarely identified in political terms, which the authors consider problematic. The lacking recognition of mundane politics denies important aspects of children’s agency, which is prejudicial in itself. Moreover, such ignorance may lead to unintended consequences in democratization processes, like the one suggested by Moss. Imposing political ideals without recognizing children’s existing political agencies carries a risk of interfering with their political lives so that some children may feel misrecognized or find their capacities to act hindered or their activities misunderstood. In order to avoid such outcomes, this article is an argument for research and pedagogies that acknowledge and scaffold children’s political agencies at large.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.979

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.048
GPT teacher head0.341
Teacher spread0.293 · 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

Citations35
Published2016
Admission routes1
Has abstractyes

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