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Record W312717381 · doi:10.3138/jcs.35.3.231

Tuning in the Future:Digital Technology and Commercial Radio Broadcasting in Canada

2000· article· en· W312717381 on OpenAlexvenueaboutno aff
Deborah Parnis

Bibliographic record

VenueJournal of Canadian Studies · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsnot available
Fundersnot available
KeywordsCommercial broadcastingBroadcasting (networking)TelecommunicationsGlobalizationPoliticsRadio broadcastingDigital radioSociologyState (computer science)Media studiesPolitical sciencePublic broadcastingComputer scienceLawComputer security

Abstract

fetched live from OpenAlex

Commercial radio, a pervasive part of the Canadian cultural landscape for nearly a century, is poised to undergo a fundamental transformation. Driven by a technology known as Digital Audio Broadcasting, radio broadcasters, with the support of the state, are proposing to replace conventional AM and FM radio, altering the familiar sounds we have known and re-organizing cultural practices associated with the medium. Prophesied as the "wave of the future," this digital technology and the new programming services it will engender, promise to draw Canadian radio into the "communications revolution," as well as the larger processes of globalization that are increasingly characterizing social, economic and political life. This essay outlines the nature of digital radio, the powers behind its development and stabilization, and some of the questions and issues that arise concerning not only the fate of radio broadcasting, but of commercial culture and cultural policy in Canadian national life.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.165
Threshold uncertainty score0.968

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0280.011
Scholarly communication0.0120.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.025
GPT teacher head0.263
Teacher spread0.238 · 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

Citations11
Published2000
Admission routes2
Has abstractyes

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