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Record W3120828299 · doi:10.33178/scenario.10.2.6

What exactly is an apple pie? Performative arts and pedagogy: Towards the development of an international glossary

2016· article· en· W3120828299 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueScenario A journal for performative teaching learning research · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGlossaryPerformative utteranceDramaGermanBrainstormingThe artsSociologyMedia studiesSession (web analytics)Library sciencePedagogyVisual artsArt historyHistoryArtAestheticsLinguistics

Abstract

fetched live from OpenAlex

Please note that this is a slightly edited version of the group discussion. Scenario wishes to acknowledge the vital contribution of Josephine Rutz by expressly thanking her for the transcription of the discussion. MS: Welcome everyone to this afternoon’s group discussion as part of the 4th SCENARIO FORUM Symposium. As you have read in the Symposium programme the German professional association Bundesarbeitsgemeinschaft (BAG) Spiel & Theater e.V. aims to develop an international glossary of key terms in the area of applied drama and theatre and has invited professionals from outside Germany to become involved in this project. Thank you for coming along to this session which is the first brainstorming session on the topic of an international glossary in the area of Performative Arts and Pedagogy. The participants in today’s group discussion are based at institutions in English speaking countries. I wish to thank especially our guests from abroad for their contributions to the Symposium: Barbara Schmenk from Canada, University of Waterloo; Katja Frimberger from Britain, Brunel University, London and Mike Fleming, University of Durham; and, of course, also a big thanks to my university colleagues Róisín O’Gorman and Bernadette Cronin, based in the Department of Drama and Theatre Studies ...

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0010.006
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.176
GPT teacher head0.418
Teacher spread0.242 · 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