“I am being taught my own work”: Editor Claire Pratt of McClelland and Stewart
Bibliographic record
Abstract
[para. 1]: "One of the first women to enter the book trade as a professional editor, Claire Pratt (1921–1995) was at the vanguard of mid-twentieth century Canadian publishing. At McClelland and Stewart, where she was senior editor from 1956 to 1965, Pratt made her most significant contribution to Canadian literary culture. She worked collegially with Jack McClelland, the charismatic head of the firm, and experienced firsthand the challenges and rewards of Canadian literary publishing. She also worked closely with English professor Malcolm Ross, who served as general editor of the firm’s paperback reprint series New Canadian Library, and directly with some of Canada’s most prominent writers, including parliamentarian Stanley Knowles, journalist Peter C. Newman, historian W.L. Morton, novelists Henry Kreisel and Margaret Laurence, and poet Irving Layton. Unlike the majority of women in publishing “whose domestic and behind-the-scenes labour [as wives, daughters, and employees often] made the family business possible, or made it flourish,”1 and who typically toiled invisibly in a field dominated by men, Pratt’s interest in literature and art was fostered by both her parents who encouraged her to pursue a career in publishing."
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.019 | 0.018 |
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".