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Record W2270617038

The New Telecommunications Sector Foreign Investment Regime and Rural Broadband

2014· article· en· W2270617038 on OpenAlexaffabout
Michael B McNally, Samuel E. Trosow

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTelecommunicationsBusinessWireless broadbandCompetition (biology)Common value auctionGovernment (linguistics)Telecommunications serviceMobile broadbandSpectrum auctionInvestment (military)Foreign direct investmentWirelessEconomicsMarketingWireless networkPoliticsComputer sciencePolitical scienceBidding
DOInot available

Abstract

fetched live from OpenAlex

Canada's telecommunications sector is in the midst of significant change. New rules on foreign investment and upcoming auctions for licenses for wireless mobile services are aimed at increasing competition; however, these changes are unlikely to produce significant benefit for rural Canadians. An analysis of the new foreign investment regulations reveals that the new approach will likely weaken the government's ability to meet the goals of Canadian telecommunications policy outlined in the Telecommunications Act. Furthermore an examination of the licensed purchase and services provided from the last wireless spectrum auction in 2008 reveals new entrants' clear preference for providing service in urban areas. The paper concludes by positing that if the Government of Canada wishes to ensure that next generation 4G wireless services are available to Canada's rural and remote population, the government must stop its reliance on market forces to develop national broadband and instead create a comprehensive national plan. Key words: spectrum management, rural broadband, foreign investment, 700MHz spectrum auction, Radio System Policy 019

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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 designQualitative
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

Citations5
Published2014
Admission routes2
Has abstractyes

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