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Record W2009256207 · doi:10.1177/1541344613499826

Click, Clack, Move

2013· article· en· W2009256207 on OpenAlex
Elinor Vettraino, Warren Linds, Linda Goulet

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Transformative Education · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsFirst Nations University of CanadaConcordia University
Fundersnot available
KeywordsTransformative learningPerformative utteranceSociologyPedagogyThe artsDemocracyAestheticsVisual artsPsychologyArtPolitical sciencePolitics

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.997

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 communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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