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Record W3043032990 · doi:10.7202/1070275ar

The Moment of Study in Learning that Resists Neoliberalism: Body Gesture, Time, and Play

2020· article· en· W3043032990 on OpenAlexvenueno aff
Clarence W. Joldersma

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsGestureNeoliberalism (international relations)Isolation (microbiology)DepictionSociologyEpistemologyAestheticsPerspective (graphical)Cognitive sciencePsychologyPhilosophyVisual artsComputer scienceArtArtificial intelligenceSocial science

Abstract

fetched live from OpenAlex

The essay develops a case study about a young boy playing with a toy train to address neoliberalism’s problematic discourse that depicts learning as instrumental, as something that can be caused by teaching. This paper’s perspective is enactive, taking the view that central to understanding learning is not the mind or brain working in isolation but involves the interrelationships between mind/brain, body, and world. The analysis revolves around the standing gap between teaching and learning, where navigating the gap involves a dynamic called ‘the moment of study.’ Three of Tyson Lewis’s ideas about study—body gesture, time, and play—are used to explain the moment of study. The paper argues that a learner traverses the gap between teaching and learning through a body gesture of hesitation, during which there is a temporal turning away from the familiar and towards new possibilities. Traversing the gap occurs through the risk of improvisational play, propelling a forward movement in the face of not knowing how to go on. This depiction of such traversing, shown to be central to the activity of learning, undermines the causal account of learning associated with neoliberalism.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.089
Scholarly communication0.0130.017
Open science0.0020.014
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.334
Teacher spread0.245 · 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 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
Published2020
Admission routes1
Has abstractyes

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