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Record W1508919799 · doi:10.22230/cjc.2010v35n1a2217

The Royal Tour of 1939 as a Media Event

2010· article· en· W1508919799 on OpenAlexaffvenueabout
Mary Vipond

Bibliographic record

VenueCanadian Journal of Communication · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsConcordia University
Fundersnot available
KeywordsSpectacleCeremonyCorporationPower (physics)Media studiesBroadcasting (networking)George (robot)Event (particle physics)LoyaltyHistorySociologyPolitical scienceLawArt historyArchaeology

Abstract

fetched live from OpenAlex

This article examines three radio broadcasts from the royal tour of 1939, namely those covering the departure of King George VI and Queen Elizabeth from Niagara Falls, Ontario, on their way to visit the United States on June 7, 1939. The analysis contributes to the debate about the function of “media events” sparked by Daniel Dayan and Elihu Katz’s eponymous 1992 book. While Dayan and Katz argue that historic national televised ceremonies enhance community loyalty and integration, their critics suggest that they place too little emphasis on issues of hierarchy and power, especially the power of the media themselves. This study concludes that by their effective use of radio to exploit the symbolism of monarchical ceremony, natural spectacle, and international portals, the Canadian Broadcasting Corporation’s announcers helped to legitimize and augment the authority of the fledgling Canadian public broadcaster.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.376
Threshold uncertainty score0.756

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.005
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.295
Teacher spread0.274 · 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 designQualitative
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

Citations7
Published2010
Admission routes3
Has abstractyes

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