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Record W4231144383 · doi:10.32920/ryerson.14646255

Lost in translation : new media, performance, & identity in Quebec

2021· preprint· en· W4231144383 on OpenAlexaffabout
Daniel E. Goldberg

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPerformative utteranceThe artsIdentity (music)NarrativeSovereigntySociologySpace (punctuation)Media artsMedia studiesAestheticsPerformativityVisual artsPerforming artsArtGender studiesPolitical scienceLiteratureLawPoliticsPhilosophyLinguistics

Abstract

fetched live from OpenAlex

A descriptive exploration of the impact on contemporary Québécois performing arts by new media and communication technologies, this thesis provides a historical and critical evaluation of "multimedia theatre" in Quebec. Drawing on Turner's theories of performative ritual and Armour & Trott's writing on culture and the Canadian mind, as well as the work of Benjamin, Ellul, Grant, Heidegger, Innis, and McLuhan on technology and cultural production, and the issues of time and space raised by the work of Gilles Maheu, Josette Féral, Patrice Pavis, and Robert Lepage, among others, this thesis argues that while prior research has located Quebec's arts culture in provincial drives for sovereignty and cultural recognition, it might better be understood as a narrative of a people in search of self-identification, offering new perspectives by which to understand an interlinked development of technology and artistic endeavour that has long been in need of critical examination.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.726

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0190.009
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.212
GPT teacher head0.321
Teacher spread0.109 · 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 designQualitative
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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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