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Record W2537305727 · doi:10.1109/itre.2003.1270638

Deployment of Canada's largest campus wireless network at the University of British Columbia

2003· article· en· W2537305727 on OpenAlexaffabout
J. S. Martell, David G. Michelson, S.G. Mair, D. Zollmann

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSoftware deploymentCampus networkTelecommunicationsWireless networkComputer scienceWireless

Abstract

fetched live from OpenAlex

By August 2003, the University of British Columbia has completed the initial deployment of Canada's largest campus wireless network. Based upon the IEEE 802.11 standard and designed to provide ubiquitous coverage throughout all campus buildings and some outside areas, the network may eventually include between 1,200 and 1,500 access points, serve over 300 buildings and cover more than one million square metres. Deploying a new and evolving technology on this scale is a massive commitment involving not only core members of the wireless project team, but also university architects, network designers, vendors, external contractors, developers, researchers, and others. Particular challenges have included: (1) anticipating the demands which faculty, staff, and students may place upon the network, both now and in the future; (2) anticipating the future directions in which wireless LAN technology and standards might evolve and the downstream implications of the design decisions that we make today, and (3) devising ways to overlay new technology into existing environments without significant disruption to people and processes.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.267

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 science0.0010.000
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 head0.005
GPT teacher head0.169
Teacher spread0.164 · 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 designNot applicable
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

Citations1
Published2003
Admission routes2
Has abstractyes

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