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Record W1966015938 · doi:10.1108/14636691011027166

Telecommunications after competition: challenges, institutions, regulation

2010· article· en· W1966015938 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfo · 2010
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsTelus (Canada)
Fundersnot available
KeywordsCompetition (biology)ForbearanceBusinessService (business)Competition lawSubsidyEx-anteUniversal serviceEconomicsIndustrial organizationMonopolyTelecommunicationsMarketingFinanceMarket economyComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of the paper is to explore the remaining aspects of telecommunications service that might require continued economic and technical regulation even after competition is present to the maximum extent feasible. The paper further explores the regulatory institutions and practices that will best accomplish this required regulation. Design/methodology/approach The paper evaluates the traditional choices between a sector‐specific regulator and a competition authority, as well as ex post and ex ante regulation. In addition, the paper evaluates less traditional methods of regulation including laws of general application, such as consumer protection laws, alternative dispute resolution mechanisms, and self‐regulation. The characteristics of each of these means of regulation are identified, and, following a set of principles, the regulatory institutions and practices are matched to the areas of telecommunications requiring regulation. Findings The paper identifies five areas of telecommunications that will likely require continuing regulation and matches a regulatory institution or practice to each of the five areas of regulation. These five areas are retail regulation of local services in rural and remote areas with insufficient competition for forbearance, interconnection of competing networks and essential facilities, duty to serve (carrier of last resort and obligation to serve), subsidies for high‐cost or low‐income customers, and social regulation such as emergency service and message relay obligations. Originality/value Previous studies have not focused on the need for continuing regulation after competition develops to the maximum extent feasible. Also, studies typically consider the limited framework of a sector‐specific regulator or a competition authority and do not consider the other regulatory options or institutions available.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.396

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 head0.024
GPT teacher head0.255
Teacher spread0.232 · 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

Quick stats

Citations4
Published2010
Admission routes1
Has abstractyes

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