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Record W2417339009 · doi:10.5555/2500004.2500014

A collaborative multi-touch, multi-display, urban futures tool

2013· article· en· W2417339009 on OpenAlex
Michael van der Laan, Ron Kellet, Cynthia Girling, Maged Senbel, Tao Su

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

VenueAnnual Simulation Symposium · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFutures contractComputer scienceDashboardArchitectureHuman–computer interactionSoftwareSimple (philosophy)Work (physics)Data scienceWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

Recent technological advances in multi-touch, multi-display computing interfaces and networking software have enabled the integration of all three roles into a single collaborative work space. This paper describes the development of one such application focused at carrying out complex urban design exercises through simple, transparent, and interactive means. Constructed through a federated system architecture, the system connects three independent applications: Google Earth, a Building Information Model (BIM) database, and an Indicators Dashboard (ID). The goal of this work is to provide a diverse group of stakeholders with a better understanding of the environmental impact and tradeoffs associated with a range in potential urban futures.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.306
Teacher spread0.293 · 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