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Record W2299758582 · doi:10.32920/ryerson.14639943

How competitive is the Canadian residential broadband market? A study of Canadian internet service providers and their regulatory environment

2021· article· en· W2299758582 on OpenAlexaffabout
Catherine A. Middleton, Annemijn van Gorp

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBusinessCompetition (biology)BroadbandCompetitor analysisService providerRivalryMarket shareThe InternetInternet accessIndustrial organizationService (business)TelecommunicationsMarketingEconomicsEngineering

Abstract

fetched live from OpenAlex

This paper offers a detailed assessment of the state of competition in the Canadian residential broadband market. After examining barriers to entry, the nature of rivalry in pricing and services, and the extent to which competitors can develop a sustainable position in the market, it concludes that the Canadian market does not foster effective competition. Canadian consumers do not have access to a range of differentiated services, and there is little innovation in the market. The paper offers some suggestions on ways to increase competitiveness in the broadband market, and concludes that changes to the current market structure are required to enable the development of more innovative broadband services in Canada.<div><b>Keywords</b>: Broadband, DSL, cable broadband, competition, regulation, Canada</div>

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.417

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 science0.0000.000
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 head0.008
GPT teacher head0.175
Teacher spread0.166 · 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 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

Citations6
Published2021
Admission routes2
Has abstractyes

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