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Record W3126333470 · doi:10.11575/sppp.v11i0.43229

The Economics of Telecommunications in Canada: A Backgrounder

2017· article· en· W3126333470 on OpenAlexaffabout
G. Kent Fellows, Mukesh Khanal

Bibliographic record

VenueRePEc: Research Papers in Economics · 2017
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRevenueTelecommunicationsBusinessTelecom infrastructure sharingInvestment (military)Value (mathematics)Service (business)MarketingEconomicsFinanceEngineeringPolitics

Abstract

fetched live from OpenAlex

We examine the role that the telecommunications sector plays in the Canadian Economy. This examination is predominantly based on an analysis of data from Canada’s system of National Accounts. Through examination of upstream and downstream value flows we itemize direct contributions of telecom in the form of upstream production generated by the sector, value added generated by the sector as well as downstream production. We also assess recent trends in telecom service levels, prices and the resulting labour income and investment behavior in the sector. Our assessment also includes projections of the relationship between telecom capital stock and overall Canadian GDP and GNP. We close with a discussion of the policy implications of the current regime of wholesale price regulation in the telecom sector and how this relates to investment incentives and by extension the overall health of the Canadian economy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.194
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.011
Science and technology studies0.0060.004
Scholarly communication0.0070.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.034
GPT teacher head0.297
Teacher spread0.263 · 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
Published2017
Admission routes2
Has abstractyes

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