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Record W2997671852 · doi:10.53841/bpsecp.2009.26.2.66

Play, narrative and learning in education: A biocultural perspective

2009· article· en· W2997671852 on OpenAlexaff
Pam Jarvis

Bibliographic record

VenueEducational and Child Psychology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsNarrativePerspective (graphical)CurriculumPedagogyProcess (computing)SociologyLearning stylesMathematics educationPsychologyVisual artsArtLiteratureComputer science

Abstract

fetched live from OpenAlex

A substantial body of research suggests that both teachers and students frequently find teaching and learning within the confines of the English National Curriculum a frustrating and alienating experience (Wood, 2004). Interviews were undertaken in five English secondary schools to explore aspects of both teacher and student constructions of the teaching and learning process. The resulting thematically analysed data supported Wood’s (2004, p.371) proposals of ‘impoverished’ learning. It is subsequently proposed that if we view human beings as ‘storying animals’ (Lyle, 2000, p.55) making sense of their world through cohesive narratives within Wittgensteinian ‘language games’ (Wittgenstein, 1953) via collaborative play and discovery activities, we can more readily define problems emerging from heavy reliance upon ‘transmission’ teaching practices resulting from the demands of the English National Curriculum. It is proposed that such a pedagogy does not adequately recognise human primate styles of learning, in particular the need for to-be-learned material to be embedded within cohesive narratives.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.385
Teacher spread0.368 · 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 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

Citations3
Published2009
Admission routes1
Has abstractyes

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