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Record W2015825511 · doi:10.1108/14636690310473872

Accommodative competitive entry policies and telecommunications regulation

2003· article· en· W2015825511 on OpenAlexaff
Mark Kolesar, Dennis L. Weisman

Bibliographic record

VenueInfo · 2003
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsTelus (Canada)
Fundersnot available
KeywordsUnbundlingCompetitor analysisBusinessIndustrial organizationCompetition (biology)Quality (philosophy)Yield (engineering)Outcome (game theory)TelecommunicationsMarketingEconomicsMicroeconomicsComputer science

Abstract

fetched live from OpenAlex

Accommodative competitive entry policies (unbundling, resale and interconnection) yield contestable retail telecommunications markets. The combination of setting efficient prices for network elements and allowing competitors to choose their preferred level of wholesale quality renders the retail market self‐regulating with respect to both price and quality. Any overhang of regulation at the retail level under these conditions is potentially harmful to fostering a competitive market outcome.

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)0.005
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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
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
Published2003
Admission routes1
Has abstractyes

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