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Record W7073619118

Digital Radio Policy in Canada: Fragmentation or Evolution of the Medium

2007· article· en· W7073619118 on OpenAlexaboutno aff

Bibliographic record

VenueArrow - TU Dublin (Technological University Dublin) · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDigital radioFragmentation (computing)LegislatureCommissionDigital broadcastingRadio broadcastingDigital audio broadcastingBroadcasting (networking)
DOInot available

Abstract

fetched live from OpenAlex

In December 2006, the Canadian Radio-Television and Telecommunications Commission (CRTC) issued its review of Digital Radio Policy. This replaced the transitional digital radio policy of 1995, and sought to implement a framework designed to support multi-platform digital radio broadcasting in an increasingly complex technological environment for the medium. Drawing on policy analysis, interviews and expert group perspectives, this paper traces the background to the legislative provision for digital radio development in Canada. While Canada was an early adopter of the Eureka-147 or Digital Audio Broadcasting (DAB), the policy of DAB as a replacement technology approach proved to be mistaken. Subsequent extensive regulatory intervention to protect Canadian interests similarly proved ineffective against the dominant influence of US interests on Canadian broadcasting, evidenced most recently by the entry of satellite- delivered subscription radio services of XM Radio and Sirius. It is argued that the approach adopted in Canada’s new digital radio policy needs to be set against the background in which the future of radio is now much less obvious and clear than it was ten years ago. Instead of a relatively straightforward transition from analog to digital audio broadcasting (DAB), there is now a wide selection of both competing alternative and complementary technological options for digital audio delivery. As such, radio can be seen to be either facing the danger of fragmentation or in fact surviving by infiltrating into new platforms and becoming more polymorphic. The paper offers a critical appraisal of whether, given previous experience and lessons learned, Canada’s regulatory approach is the appropriate one and potentially a model for other sectors and other markets.

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)0.006
metaresearch head score (Gemma)0.016
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 score0.707
Threshold uncertainty score0.820

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0230.019
Scholarly communication0.0180.005
Open science0.0030.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.021
GPT teacher head0.178
Teacher spread0.157 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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