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Record W1979662353 · doi:10.1260/147807709789621293

Interactive Hemostasis Modeling in Urban Network Design

2009· article· en· W1979662353 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

VenueInternational Journal of Architectural Computing · 2009
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSituatedPedestrianComputer scienceSoftwareCyberneticsArchitectural engineeringEngineeringTransport engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This paper describes a type of project that images a city as it might exist given the integration of hemostatic procedures within pedestrian networks during emergencies requiring full-scale egress from an urban core. It articulates the steps taken to integrate a pre-existing C++ hemostasis model (C. Jacob, 2008) into Maya software in order to describe how the project operates on a computational level. By projecting these agent-based logics directly into/onto each pedestrian in the city (the smallest unit of the system), egress-oriented infrastructure can shift from being extensively predetermined in form (concrete barriers, metal railing, police barricades, etc.), to something more intensively defined, real-time, and locally on-demand. These procedures are situated within a larger schema based on the structural principles of Norbert Wiener's cybernetic feedback loops, that acknowledge and allow for hybrid (top-down + bottom-up) awareness and control within systems. The project attempts to ally itself with emerging forms of network design with similar structural typologies supported through the use of personal mobile devices (PMDs) in urban environments.

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 score0.592
Threshold uncertainty score0.484

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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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