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Record W4250553584 · doi:10.22215/etd/2014-10279

Behind the Curtain: An Architectural Mise-en-Scène for Mise-en-Place

2014· dissertation· fr· W4250553584 on OpenAlexaboutno aff
Natalie Petricca

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerformative utteranceChoreographyUrbanismVisual artsNeighbourhood (mathematics)Space (punctuation)Public spaceAestheticsArchitectural engineeringArtSociologyEngineeringArchitectureComputer scienceDance

Abstract

fetched live from OpenAlex

Behind the Curtain: An Architectural Mise-en-Scène for Mise-en-Place explores public spaces in the City of Ottawa with an interest in their theatrical potential. Utilizing historical precedents such as Greek and Elizabethan theatre traditions and scenographic devices, identified as frames, layers, point of view, choreography, lighting and viewer-viewed relationships, these “theatrical” civic moments are enhanced by the implementation of architectural elements to bring an awareness of their performative qualities. The urban theatrical devices are further explored in the making of a neighbourhood-scaled intervention. This proposal is supported by a program - a Cultural Centre and Culinary Cooperative - which in itself contributes to interpersonal relationships analogous to the viewer-viewed aspects in theatre. This unique architectural programming also supports a community need - that of a social gathering space for local women from a traditional Italian community who generally remain isolated due to existing social dynamics and traditional gender roles.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.002

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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
Published2014
Admission routes1
Has abstractyes

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