Journalism Education in Canada: Toward a Corporate Model?
Bibliographic record
Abstract
Journalism education in Canada lags far behind the field in the U.S., both in history and numbers. The first university-level schools of journalism in Canada did not open until the late 1940s, and until the mid-1970s there were only three four-year journalism schools there, all in the dominant province of Ontario. University teaching of the subject did not reach Canada’s west coast until the late 1990s, despite the promise of a graduate school there dating to 1980. Two major reasons for this belated development have been practitioner resistance and a lack of government funding. Despite this, the number of university journalism programs in Canada has seen a recent upturn. Increased corporate funding, which has led to a rise in the number of programs, has also raised concern for the independence of scholarly media criticism, however, as some journalism school directors have been seen as advocating in the interests of their corporate benefactors. 2
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".