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Record W3013179752 · doi:10.1080/09669760.2020.1742669

Play, pedagogy and power: a reinterpretation of research using a Foucauldian lens

2020· article· en· W3013179752 on OpenAlexaff
Una McCabe, Thérèse Farrell

Bibliographic record

VenueInternational Journal of Early Years Education · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsReinterpretationIdeologySociologyDisadvantagedPower (physics)Sociocultural evolutionPerspective (graphical)Early childhood educationGender studiesPedagogyPoliticsAestheticsPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

Early childhood education is steeped both in historical and ideological traditions which value play as a powerful pedagogy. From an Irish perspective, early years research tends to be framed with a sociocultural perspective. This research presents a reinterpretation of play episodes using a Foucauldian lens. It documents a re-imagination of research which was originally concerned with sociodramatic play interventions. The research took place in settings with designated disadvantaged status, in the Republic of Ireland, with children aged 3–6 years. The new reinterpretation of the data outlined in this paper indicates that by adopting an alternative lens, new discourse around power dynamics in play emerges. The reimagining of the data offers new insights into play pedagogy and the ways in which children seek and find power in play episodes. The results are also used to illuminate how educators can work positively with an awareness of power dynamics. The results of the reinterpretation are used to present a challenge to dominant ideologies within the discourse of research in early childhood education.

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)0.027
metaresearch head score (Gemma)0.018
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0160.007
Science and technology studies0.0070.150
Scholarly communication0.0260.027
Open science0.0030.013
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0020.000

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 head0.094
GPT teacher head0.471
Teacher spread0.377 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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