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Record W7064861675

Click, Clack, Move: Facilitation of the Arts as Transformative Pedagogy

2013· article· en· W7064861675 on OpenAlexaffabout

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsPrince Albert Grand CouncilFirst Nations University of CanadaConcordia University
Fundersnot available
KeywordsTransformative learningPerformative utteranceThe artsSpace (punctuation)FacilitationSocial justiceProcess (computing)Facilitator
DOInot available

Abstract

fetched live from OpenAlex

This article explores the arts’ potential to transform the relationships between students and teachers, so that education becomes an ‘‘as if ’’ world, where education is an act of social justice. Interweaving themes from the children’s book Click Clack Moo, Cows that Type with theories of transformative pedagogy and their own teaching practices in Canada and Scotland, the authors look at the metonymic way in which the children’s story, as a form of performative writing, explores democracy, leadership, and group dynamics. Drawing from a concept of social justice as being a multi- or interdisciplinary experience that enables individuals to make sense of the social system around them, we explore how we have embraced transformative pedagogy in working with groups. In the process of the workshop, a shared space is opened up, where the exploration of stories can lead all participants to engage in transformative dialogue through visual images, movement, sound and physicality.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.024
Scholarly communication0.0080.006
Open science0.0010.013
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.020
GPT teacher head0.288
Teacher spread0.268 · 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.

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

Citations2
Published2013
Admission routes2
Has abstractyes

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