Bibliographic record
Abstract
This is a preliminary exploration of the work of Avrom Yanovsky (1911–1979) as a cultural producer associated with the radical left in Canada. The historical sieve of cultural selection has not favoured him, but the name “Avrom,” with which he signed most of his work, is a recurring signifier in the historical memory of the Canadian left. Researchers in the field are often aware of the many political cartoons he published in Communist newspapers such as The Worker and others from the early 1930s onwards. In addition to cartoons, Yanovsky’s cultural output included portraits, sketches, illustrations, stage sets, costumes, banners, murals and other art. He invented original characters and stories for Canadian comic books and worked on animated films and documentaries. He undertook publicity and labour education projects for unions and was also prominent in the Canadian Society of Graphic Art. An exponent of Yiddish culture, he was active in the cultural life of the United Jewish People’s Order and a familiar figure at their summer camps. He was widely known for his popular “chalk talks,” which he modelled on the practice of J.W. Bengough, the politically engaged cartoonist of an earlier generation. Yanovsky shared Margaret Fairley’s views on the responsibilities of the artist-revolutionary, and his occasional writings focused on the centrality of culture in any strategy to promote radical social change.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".