Bibliographic record
Abstract
Abstract: The military received significant coverage on the earliest television news broadcasts in Canada. There were reports and features about the wars Canadians fought in Korea and were preparing to fight against the Soviets in the early years of the Cold War. A close examination of the Canadian Broadcasting Corporation's television (cbc-tv) news coverage between 1952 and 1956 of topics ranging from the return of troops from Korea to combat training in Petawawa, Ontario, offers insight, not only into early television representations of military endeavours, but also into a formative period in cbc-tv's development. The article argues that, during the first years of transmission, cbc-tv news programs were largely uncritical and often supportive of the military. As a result, the national broadcaster reinforced the consensus on defence policy and military commitments. This did not reflect deficiencies in the cbc National News Service's journalistic ethics, but rather production contexts unique to the early 1950s: technological constraints; limited resources; strict military regulations; the cbc's established practices, policies, and program formats; the lack of debate about defence during the early Cold War; and the influence of American broadcasters, military newsfilm services, and foreign newsreel agencies.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.020 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".