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Record W2125324704 · doi:10.5555/1218112.1218485

Eucalyptus: intelligent infrastructure enabled participatory design studio

2006· article· en· W2125324704 on OpenAlexaffvenue
Michael Jemtrud, Philam Nguyen, Bruce Spencer, Martin Brooks, Sandy Liu, Yong Liang, Bo Xu, Libo Zhang

Bibliographic record

VenueNPARC · 2006
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsCarleton University
Fundersnot available
KeywordsParticipatory designComputer scienceVideoconferencingBroadbandStudioService (business)MultimediaEngineeringTelecommunications

Abstract

fetched live from OpenAlex

A new notion of participation is at stake with advances in technologically mediated work environments. The digitally mediated e-design studio has been around since mid-1990 and has been employed in various forms in disciplines including architecture/engineering/construction (AEC), industrial design, and the automotive industry. Insufficient bandwidth and insufficiently powerful, crudely coordinated tools, however, result in distributed task-based modes of collaboration that do not allow full participation by members of the distributed design team. At the very least, the present “second generation” network severely limits the applications, tools, and modes of communication that can be used in data and visualization-intense design scenarios. The emergence of Service Oriented Architectures and User-Controlled LightPaths (“intelligent infrastructure”) herald the beginning of a new age where fully participatory multi-site design may become possible. The networks, visualization & communication tools, Service Oriented Architecture & Web Services, work protocols, and physical site designs of the Eucalyptus project being developed by the authors will constitute one of the first working examples of this future. The paper will briefly outline the of the technical configuration of the Eucalyptus project; observations and results from the creative activity of the PDS in the context of two case studies; and speculate on the implications for design activity, pedagogy, and a more robust mode of participation.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.846
Threshold uncertainty score0.791

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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 designTheoretical or conceptual
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

Citations12
Published2006
Admission routes2
Has abstractyes

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