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Record W2403063960 · doi:10.1386/tear.14.1-2.113_1

Soft matter: Responsive architectural operations

2016· article· en· W2403063960 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

VenueTechnoetic Arts · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and Biological Electrophysiology Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDynamismComputer scienceArchitectural engineeringArchitectural patternSpace (punctuation)Architectural designSoft materialsThrough-the-lens meteringArchitectureSystems engineeringEngineeringLens (geology)NanotechnologyMaterials scienceEpistemologyProgramming languageVisual artsArt

Abstract

fetched live from OpenAlex

Abstract Soft systems attempt to account for non-linear processes whose complexity derives from shifting interrelationships between elements. The move towards soft systems, whose stability is rooted in dynamism, represents a significant shift across disciplines with important implications for the way we approach architectural environments and materials. This article investigates the effects of physical and operational softness on the experience of architectural space through the lens of a recent installation using mycelium biocomposites, an emergent soft material. This contemporary exploration of architectural softness builds in new and technically sophisticated ways on earlier experiments in architectural softness that explored the promise of creating responsive and flexible architectures.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.777

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)0.0000.001

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 head0.015
GPT teacher head0.209
Teacher spread0.193 · 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