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Record W4281679355 · doi:10.1177/14639491221106500

(Un)finding childhoods in citational practices with postdevelopmental pedagogies

2022· article· en· W4281679355 on OpenAlexaff
Nicole Land, Alicja Frankowski

Bibliographic record

VenueContemporary Issues in Early Childhood · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsYork UniversityToronto Metropolitan University
Fundersnot available
KeywordsTemporalitiesDevelopmentalismEarly childhood educationEarly childhoodSociologyCertaintyPedagogyWonderEveryday lifeEpistemologyPsychologyDevelopmental psychologySocial psychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Taking up the contention that child development manifests through the developmental logics it enacts, the authors work with citational practices as iterations of how developmentalism's logics are done in everyday practices in early childhood and teacher education. They work with Erica Burman's method of ‘found childhood’ to propose citational practices as artefacts of found childhood – as traces of how childhood happens in contemporary life and as an indicator of the dominant knowledges and knowledge-making practices that animate 21st-century childhoods. With disciplining and failure as moments of citational practices, the authors follow how practices of citing do and do not do developmental logics. In dialogue with postdevelopmental pedagogies, they wonder how one might cite into otherwise futures beyond the certainty and temporalities dictated by child development. The authors refuse the progress-oriented logics of child development and do not articulate new ‘best’ practices for citing, but instead write through provocations that might take up questions of world-making, pedagogy and life in line with the propositions offered by postdevelopmental pedagogies.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.349
Teacher spread0.294 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

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