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Politics and the Media: Culture, Technology, and Regulation

2010· book-chapter· en· W1485035438 on OpenAlexaffabout
Jonathan Rose, Paul Nesbitt‐Larking

Bibliographic record

VenueOxford University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsQueen's University
Fundersnot available
KeywordsPoliticsDialecticReproductionMedia theoryGlobalizationPolitical communicationPolitical scienceCommunication theorySociologyMedia studiesEpistemologyLawEcologyCommunicationBiology

Abstract

fetched live from OpenAlex

Abstract Media and communication in Canada are intrinsic to the very construction and reproduction of Canada itself and to the possibility of Canada. For this reason, communication and media theory stand as Canada's most distinctive and profound contributions. Analysis of communication is important as it gives an understanding of Canada itself. This article presents familiar dialectics of Canadian communication that have deep roots in Canadian media theory. It also discusses how these media theories give shape to the political economies, the regulatory regimes, and the dominant ideas that dominate politics and media in Canada. Furthermore, the article discusses the globalization of the Canadian media and how the Canadian media experience can become universal.

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)0.002
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 score0.857
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.017
Scholarly communication0.0100.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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