You Ain’t Seen Nothing Yet: An Analysis of Depictions of Canadian National Identity in the Juno Awards 2014 Broadcast
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.019 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".