Bibliographic record
Abstract
The thesis is focused on key canadian media - print, radio and television, in the individulal chapters I'm trying to describe their development as it is during the formative years and influenced, and what role it plays in today's Canada and which one of them has a privileged position in the country. Before that I was trying to deal with the history of Canada to clarify the roots all Canadian journalism and the media occurred. I also give attention to some selected major Canadian media personalities, whether those from the past and the present, who are in some way involved on what is today Canadian journalism, or the form of it's today. My attention did not miss either: the French-Canadian journalism, which about their form and the place on the map of the Canadian media fought for centuries. Its center is the Canadian province of Quebec. In my work, I also discuss how journalism is taught at several Canadian universities, how much of them offers a learning program and how they teach it. Whether the emphasis is more on theory or more practical. I write also about media education, which has been several years in Canada's history. Last but not least, I tried to map the Czech track in the Canadian media and specifically designate some of expatriate media that readers can find in Canada.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.026 | 0.021 |
| Scholarly communication | 0.021 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".