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Record W7129237672 · doi:10.1386/atr_00103_2

The perceptive, remembering and located body

2025· article· en· W7129237672 on OpenAlexaff
Claire French, Taiwo Afolabi

Bibliographic record

VenueApplied Theatre Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsContext (archaeology)Agency (philosophy)Embodied cognitionPerceptionPoint (geometry)Order (exchange)Key (lock)Situated

Abstract

fetched live from OpenAlex

As applied and socially engaged practices move beyond Cartesian dualisms, we seek vocabularies and practices for the body. This editorial discusses key themes emerging when theorizing and facilitating relationships to bodily being-in-the-world, pedagogy and performance. We order our observations into the three key areas: embodied pedagogies and methodologies; the body’s perception and memory; and body and identity. Attentive to consent and care, our authors ask how bodies are invited, managed or co-opted within pedagogic and epistemological frames, and how agency might be amplified rather than surveilled. We bring together new and foundational ideas from applied, socially engaged practices and performance studies to provide a context to, and mediate the ideas posed within this issue. We point to new research covering the politicization of the facilitator’s body, interrelations between the body’s perception and knowledge, and the risks in unearthing memory.

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)0.005
metaresearch head score (Gemma)0.010
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.054
Scholarly communication0.0120.012
Open science0.0020.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.061
GPT teacher head0.421
Teacher spread0.361 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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