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Record W2596799124 · doi:10.25071/1916-4467.40312

Towards a Walking-Based Pedagogy

2016· article· en· W2596799124 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsActive listeningSociologyCuriosityCurriculumPedagogyPoliticsVisual artsAestheticsPsychologySocial psychologyArtCommunicationPolitical science

Abstract

fetched live from OpenAlex

After several years of experimenting with walking as a creative process and an artistic form, my commitment to developing walking-based pedagogy for art education has been honed and heartened. This article details my doctoral research and summarizes the mindful walking methodology I am developing for diverse demographics and variable geographies. In particular, I share excerpts from interviews conducted with four Montreal-based artists who walk as an aspect of their practice: Victoria Stanton, Kathleen Vaughan, karen elaine spencer, and Dominique Ferraton. Presented as a hybrid article that couples a written introduction with a self-directed audio walk, the two components are designed to complement one another. By providing an audio walk as a pedagogical tool, I am advocating for kineasthetic engagement as an essential component for discourse on this topic. Likewise, I propose a notion of curriculum that is lived and emerging, somatic and contextual, personal yet political, and enhanced by curiosity and listening.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.299
Teacher spread0.264 · 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