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Record W7084610551 · doi:10.1386/public_00234_1

Tryleather.net: Performance Research and the Embodied Archive

2025· article· en· W7084610551 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePublic · 2025
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsQueen's University
Fundersnot available
KeywordsExpansiveEmbodied cognitionProcess (computing)Work (physics)

Abstract

fetched live from OpenAlex

This short article explores the collaborative revival of Try Leather (1975), a stage-based solo by Canadian performance artist Margaret Dragu. Fifty years after its premiere, artists Britta Wirthmüller, Justine A. Chambers, and William Locke Wheeler engaged with Dragu to reimagine the work through movement-based research and archival production. Their process generated an expansive digital archive—collected at Tryleather.net . This platform functions as both score and archive, activating an embodied and speculative approach to performance history. Rooted in feminist performance, sex work activism, and artist-run culture, the project resists static historicization, instead proposing a living, networked archive that invites ongoing engagement and re-performance through collaborative, processual, and community-driven methodologies.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.183

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.053
GPT teacher head0.310
Teacher spread0.257 · 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