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Record W2287939459 · doi:10.56105/cjsae.v27i1.3410

Embodied Learning Processes in Activism

2014· article· en· W2287939459 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionAction (physics)FeelingNarrativeSituatedPsychologyDirect actionProcess (computing)Affect (linguistics)Cognitive scienceSociologyEpistemologySocial psychologyCommunicationComputer sciencePolitical sciencePoliticsArt

Abstract

fetched live from OpenAlex

In this paper, I employ narrative method to explore the learning processes of adult activists engaged in activism. Drawing on the story of one animal activist I explain the embodied learning processes in a direct action environment. I explore how emotions and the body interplay with learning, which moves beyond a purely cognitive or rational lens of learning which privileges the mind. Importantly, I show the ways in which affect, feelings, emotions and the body are saturated and situated in direct action learning spaces and places. These emotions, sensory and kinaesthetic bodily dynamics encourage a rethink of learning processes that are generally conceptualised as head-based or disembodied. It is argued that embodiment implicates a ‘see-feel-learn’ sequence rather than a rational process of ‘analyse-think-change’ encouraging us to rethink the nature of learning processes in direct action activism.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.018
GPT teacher head0.323
Teacher spread0.305 · 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