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Record W4205763510 · doi:10.22501/rc.1499713

Scenarchitecture: exhibitions, live events and sited performances in Italy and UK, 2006-2021

2022· preprint· en· W4205763510 on OpenAlexaff
Andrea Moneta

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicUrban Planning and Landscape Design
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsExhibitionPerformative utteranceArchitectureSociologyDisciplineVisual artsOriginalityGeneral partnershipPedagogyArtPolitical scienceAestheticsSocial scienceQualitative researchLaw

Abstract

fetched live from OpenAlex

The Exposition illustrates the body of work of 15 years of research-led teaching and professional practice that produced 17 performances, 2 installations and 4 exhibitions in Italy and UK, during the period 2006-2021. They are documented with photos, video documentaries, social media, info about the research and design process to demonstrate impact, significance, and originality. All the output presented in this portfolio involved projects in partnership with universities, research centres, theatres, and cultural institutions.Performances had been developed through Scenarchitecture, a trans-disciplinary methodology developed by Moneta’s research, that blends Scenography with architecture and urban design. Scenarchitecture involves the process of reading, understanding, and interpreting the inner character and performative attributes of architecture and sites, as an in-depth exploration and expression of Spatial Practice and community engagement, essential aspects for any design intervention in a specific place. Scenarchitecture, in fact, can also help designers, stakeholders, and citizens to engage with the character of the place as a propaedeutic step for the co-creation of architectural and urban design that are respectful of places.Performances and related exhibitions, in the roles of designer, exhibitor and director, had been an important step for the author to disseminate Scenarchitecture methodology, and to assess it in different areas: in Research-led teaching at Nottingham Trent University (UK) and University of Rome La Sapienza (Italy); in Professional practice for theatre design and architectural design, as co-founder of cultural association Archabout; in Professional practice for live events in marketing and communication, as co-founder of ethical and un-conventional communication firm Smart Jokes. keywords: site-specific performance, heritage, scenarchitecture, spatial practice, performance design, genius loci, architecture, theatre design

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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