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Record W2900276272 · doi:10.29173/psur9

You Ain’t Seen Nothing Yet: An Analysis of Depictions of Canadian National Identity in the Juno Awards 2014 Broadcast

2015· article· en· W2900276272 on OpenAlexvenueaboutno aff
Blair Wade

Bibliographic record

VenuePolitical Science Undergraduate Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsMulticulturalismEntertainmentContext (archaeology)Media studiesEgalitarianismPolitical scienceNothingNational identityThe artsIdentity (music)SociologyGender studiesPublic relationsLawAestheticsHistoryArt

Abstract

fetched live from OpenAlex

With changing dynamics of political communication merging education and information and giving rise to celebrity politics, entertainment media is now playing an integral role in creating a cultural context for individuals, especially young people, to become politically active. The Juno Awards 2014 broadcast presents an excellent opportunity for analysis of changing forms of political communication and celebrity politics in the Canadian context. This becomes especially true when recognizing the origins of the Juno Awards, with the creation of the Canadian Academy of Recording Arts and Sciences (CARAS) was designed to celebrate Canadian arts and culture on a national scale, but has evolved over the decades to become more focused on music promotion and commercial profitability than fair and equal artistic representation. For this study, both qualitative and quantitative methods were combined to measure the most prominent features of Canadian national identity: multiculturalism, gender egalitarianism, the diffident and unpatriotic citizen, and Canada as a peacekeeping nation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.007
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.374
Teacher spread0.303 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2015
Admission routes2
Has abstractyes

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