Authority in Canadian news : an examination of the voices, perspectives and interests favoured by Canadian broadcasters
Bibliographic record
Abstract
While the mainstream new media can be said to play a variety of roles, what is certain is its potential to inform public opinion and our understanding of the world we live in, both on a national and global scale. One of the ways this is accomplished is through the use of authority; the active decision by media outlets to invoke the trust we have in certain voices while reflecting and shaping our notions of the roles of others. When given the choice between experts, political leaders, victims, etc., all genders and cultural backgrounds, whose voices are heard in mainstream media, and as a result, whose influence is reflected in the public's understanding of the world; an understanding so crucial to a functioning democracy? Filing in the gaps in this under researched area, this thesis explores the issue of how authority plays out in the Canadian national context.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.020 |
| Science and technology studies | 0.031 | 0.007 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".