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Record W4301310873 · doi:10.52842/conf.ecaade.2009.161

From Formal to Behavioral Architecture: Few Notes on the Abstraction of Function

2009· article· en· W4301310873 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

VenueeCAADe proceedings · 2009
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsMcGill University
FundersSyracuse University
KeywordsArchitectureComputer scienceAssociation (psychology)MemorizationFunction (biology)AbstractionReference architectureSoftware architectureHuman–computer interactionTheoretical computer scienceProgramming languageSoftwareMathematics

Abstract

fetched live from OpenAlex

With the advent of information theories, contemporary architecture is approached in terms of the energetic formations of memorization, association and connection. The former architectural diagram becomes a concretization, an instance, one possibility, of an operational code. Memorization refers to the ability of architecture to embed information within the deepest composition of matter. Architectural performance has always been revealed by the integration, or association, of multiple parameters. Connections are vectors which fuse the knowledge of heterogeneous symbiotic human environments. In the “C-chair”, a project by our laboratory Open Source Architecture, abstract objects such as points, lines, and surfaces act as memorizers of information. As the codified system reacts to external forces, an association of two distinct graph structures is developed and connections are formed as the architectural object emerges.

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 score0.477
Threshold uncertainty score0.330

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 head0.015
GPT teacher head0.224
Teacher spread0.209 · 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