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Record W4231166189 · doi:10.4018/9781599049472.ch151

A Secure Wireless Data Access Service for the Government of Canada

2011· book-chapter· en· W4231166189 on OpenAlexaboutno aff
Howie Macumber, Bing Cheung

Bibliographic record

VenueElectronic Government · 2011
Typebook-chapter
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsnot available
Fundersnot available
KeywordsComputer securityInternet privacyComputer scienceGovernment (linguistics)TelecommunicationsWirelessBusinessComputer network

Abstract

fetched live from OpenAlex

This chapter examines work conducted by Public Works and Government Services Canada, a department of the Government of Canada (GoC), to assess the potential for a Secure Wireless Data Access Service (SWDAS) that is envisaged to be provided as a common service to departments and agencies of the GoC. The main focus of the work has been on Wi-Fi, especially the IEEE 802.11b standard, and its application. Areas examined include technology, security, spectrum management, user surveys, applications, business, ?nance, service trial, future trends, and recommendations for the implementation of Wi-Fi in government. It is demonstrated that the application of Wi-Fi technology in the GoC would be bene?cial for the government workforce from both a ?nancial and a technological perspective. Request access from your librarian to read this chapter's full text.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.014

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 head0.202
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2011
Admission routes1
Has abstractyes

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