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Record W3004568629

Une bibliographie commentée en temps réel : l'art de la performance au Québec et au Canada = An Annotated Bibliography in Real Time : Performance Art in Quebec and Canada

2019· book· fr· W3004568629 on OpenAlexaboutno aff
Barbara Clausen, Jade Boivin, Emmanuelle Choquette

Bibliographic record

VenueE-Artexte (Artexte) · 2019
Typebook
Languagefr
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerforming artsAnnotated bibliographyThe artsPerspective (graphical)Art historyBibliographyLibrary scienceArtPerformance artResource (disambiguation)Visual artsHumanitiesHistoryComputer science
DOInot available

Abstract

fetched live from OpenAlex

An Annotated Bibliography in Real Time: Performance Art in Quebec and Canada offers a bibliographic survey of writings, publications and printed matter on Quebec and Canadian performance art from the early 20th century to today. This university based research project, not only gathers and annotates but also questions how categories can be cross-read, revisited, and thought of in new ways. A key objective of the bibliography is to enable its future users to consider the various roles and complex networks that continue to shape the medium and practice of performance. This publication is a continuously growing resource that presents both the work of the artists and the history of the works’ reception in the past as well as the present, investigating the correlative relationship between the performer, the spectator and their given time(s). An Annotated Bibliography in Real Time offers a hybrid and discursive perspective on the historization of performance art and sheds light on performance’s many circumstances and modes of production, experience, and reception over time. -- p.i

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.066
Threshold uncertainty score0.476

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.026
Science and technology studies0.0110.004
Scholarly communication0.0090.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.004

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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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