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Record W2965902085

Acoustic Design of Reconstructed Banff Pavilion of Frank Lloyd Wright

2019· article· en· W2965902085 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

VenueARCC Conference Repository (Architectural Research Centers Consortium) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPavilionWrightSpace (punctuation)Art historyBrewsterArtArchaeologyArchitectural engineeringComputer scienceEngineeringHistoryOpticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The late Frank Lloyd Wright designed and through an Alberta architect installed a pavilion in Banff, Alberta within the Parks Canada's land. The pavilion was built in the prairie style with a gathering space, washrooms and minimal food services. Built in 1916, it was used only in the summer. However, it was demolished in 1933 due to damage from two major floods. A group of Wright aficionados is very keen to get the pavilion rebuilt with the aim of preserving the original design. The group retained seven Ryerson University academics to study the feasibility of recreating the pavilion with the stipulation that the space can be used all through the year. One of the envisaged uses of the space is a small concert hall in the main meeting space. The original and reconstructed pavilion space uses materials such as glass, stones and concrete. The envelope materials are highly reflective. The acoustical response of the space was simulated in ODEON for different scenarios. One short jazz piece, Autumn Leaves, was used to generate wave files by conducting auralization through OdeOn. Based on the responses movable acoustic panels were designed to produce acceptable concert hall from an acoustic perspective. The results of the acoustic simulations will be presented in this paper.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.092
GPT teacher head0.405
Teacher spread0.312 · 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