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Record W3209863474 · doi:10.32920/ryerson.14644488.v1

On an architecture of atmosphere

2021· preprint· en· W3209863474 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAtmosphere (unit)ArchitectureConceptualizationConstruct (python library)Architectural engineeringComputer scienceSubject (documents)Focus (optics)EngineeringVisual artsArtArtificial intelligenceGeographyMeteorology

Abstract

fetched live from OpenAlex

In architecture, atmosphere is a term that is used to describe an intangible characteristic that permeates our built environments. The feeling of atmosphere is a direct result of one’s perceptible circumstances, which are shaped by what architects design and how they go about designing it. But for a construct that is grounded in the reality of the buildings architects design, there is a clear lack of consideration and discourse on the subject of atmosphere in the design of architecture. As a result, atmosphere in architecture has been relegated to a default atmosphere by architectural processes that focus on the conceptualization of buildings as ideal objects. In order to consider atmosphere in architecture designers must acknowledge in their designs the importance of a building’s temporal nature, its effect on one’s corporeal presence, and the surrounding environment. This thesis work is an evolving exploration into designing an architecture of atmosphere

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.560
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.211
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

Quick stats

Citations32
Published2021
Admission routes1
Has abstractyes

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