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Record W2054114493 · doi:10.1080/19376520801978126

Digital Radio Policy in Canada: From Analog Replacement to Multimedia Convergence

2008· article· en· W2054114493 on OpenAlexaboutno aff
Brian O’Neill

Bibliographic record

VenueJournal of Radio & Audio Media · 2008
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsDigital radioBroadcasting (networking)Digital broadcastingRadio broadcastingTelecommunicationsMultimediaDigital audio broadcastingPosition (finance)Computer scienceDigital televisionTransmission (telecommunications)Technological convergenceConvergence (economics)BusinessComputer networkEconomics

Abstract

fetched live from OpenAlex

Digital radio policy in Canada has moved from a position of seeking to migrate all radio broadcasting onto a single digital transmission system (Eureka-147) to a multi-platform, cross-media and multimedia approach. The most recent digital radio policy of 2006 suggests a range of new possibilities for radio broadcasting, including multimedia broadcasting, but as a result has compromised the early adoption of the Eureka-147 standard. This paper contrasts the different policy contexts of 1995 and 2006 and argues that the competing technological options for digital audio delivery now pose significant dilemmas for broadcasters and policy makers.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.144
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.005
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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

Citations12
Published2008
Admission routes1
Has abstractyes

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