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Record W4245929494 · doi:10.32920/ryerson.14654970.v1

Synthetic futurism: exploring the possibilities of limitless architectural change and growth

2021· preprint· en· W4245929494 on OpenAlexaff
Hovag John Kara-Yacoubian

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsContext (archaeology)ContingencyIdentity (music)Set (abstract data type)Diversity (politics)MalleabilitySpace (punctuation)Architectural engineeringPlan (archaeology)Computer scienceEpistemologyAestheticsEngineeringLawPolitical scienceGeographyComputer security

Abstract

fetched live from OpenAlex

Buildings do not have to burst out of the ground with a predetermined identity. They have an inherent need to grow, change and reinvent themselves to reflect the changes among the people and context. In the ever-changing condition of the context, the design of a building must be conscious of and attuned to the growing needs of society. It cannot assume it is destined for a singular purpose, as instead it is defined by a continuity of growth and reinvention. With the onset of contextual changes, the fleeting moment of a design’s conception becomes less significant. In turn, what rises in import is the integration of contingency to allow a design to metabolize the effects of the contextual change and synthesize new solutions within a flexible, absorptive system. Each added component through its relationship with subcomponents and previously existing elements can serve to create diversity, continuity and flexible internal hierarchies between continuous servant and served space. The summation of the Group Form that results from the melding of many parts can allow the buildings identity to shift as the individual parts reform and change to form new cohesive identities. By manufacturing the base and set of core components, a radically diverse system can grow beyond the limits of the originating elements, adding malleability to the many comprising identities.

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 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.567

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 head0.061
GPT teacher head0.213
Teacher spread0.152 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2021
Admission routes1
Has abstractyes

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