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Record W2782976356 · doi:10.1177/1350507618754715

Traveling concepts: Performative movements in learning/playing

2018· article· en· W2782976356 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.

Bibliographic record

VenueManagement Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsPerformative utteranceSocialityAssemblage (archaeology)Generative grammarContext (archaeology)PerformativitySociologyMateriality (auditing)EpistemologyCognitive sciencePsychologyAestheticsComputer scienceArtificial intelligenceEcologyArtHistoryArchaeology

Abstract

fetched live from OpenAlex

This article examines the generative interplay between learning and playing in managing and organizing by taking a performative approach that theorizes learning/playing as an assemblage in which playing and learning emerge as co-evolving processes in practice. Addressing the methodological challenges associated with this performative approach, the learning/playing assemblage is probed using traveling concepts, which attend to the dynamic movements rather than the stabilities of organizing, functioning as proposed by Vygotsky as both a research tool and an emergent result of research. This notion of “travelling concepts” is developed empirically by engaging with Mead’s “sociality,” which he defined as the simultaneous experience of being several things at once. Three interweaving strands of sociality—relational, spatial, and temporal—are elaborated in the context of traveling with and through four artisan food production sites, each of which sought to engage differently with the esthetics and functionality of the food we consume.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.057
GPT teacher head0.413
Teacher spread0.356 · 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