Writing for CBC Wartime Radio Drama: John Weinzweig, Socialism, and the Twelve-Tone Dilemma
Bibliographic record
Abstract
Radio drama was a quintessential source of entertainment for Canadian audiences during the Second World War, and the Canadian Broadcasting Corporation (CBC) used the art form to distribute propaganda and garner support for the Canadian war effort. Similarly, CBC radio drama became an essential artistic outlet for artists and composers to articulate their political beliefs to a national audience. This article frames Canadian composer John Weinzweig’s works for the CBC radio drama seriesNew Homes for Old(1941) within the socio-political climate of the 1930s and 1940s and suggests that radio drama provided Weinzweig with a national soapbox for his radical socialist ideals during a time of political upheaval. My research draws on archival materials from Library and Archives Canada, the CBC Music Library Archives, and Concordia’s Centre for Broadcasting and Journalism Studies to build upon the biographical work of Elaine Keillor and Brian Cherney. I establish Weinzweig’s socialist ties and argue that his political leanings prompted him to simplify his serial language in favour of a simplified modernist aesthetic, which appealed to Canada’s conservative wartime audiences. This study of Weinzweig’s radio works reveals how the composer desired to make serial compositions accessible and palatable, and shows how he incorporated vernacular idioms such as folk songs and national anthems as foils to the elitist European serial aesthetic. In doing so, I show how Weinzweig uses a powerful and pervasive medium to promote his unique compositional style and also to reflect the cultural, political, and aesthetic ideals of leftist socialism.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.036 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".