Barometers of Change: Presidents Hugh Eayrs and John Gray of the Macmillan Company of Canada
Bibliographic record
Abstract
This essay examines the deliberate role undertaken by the Macmillan Company of Canada to develop a contemporary Canadian literature. It focusses on the period from 1921 to 1973, when first Hugh Eayrs and later John Gray were presidents of the company. Under the direction of Eayrs, Macmillan established itself as a publisher with a culture and interest separate from its parent and affiliate houses in London and New York. Eayrs built a roster of important writers, including Stephen Leacock, Mazo de la Roche, Frederick Philip Grove, E.J. Pratt, Grey Owl and Morley Callaghan, and helped establish an audience for Canadian novels and poetry. After Eayrs’s death, Gray continued to publish Canadian writers, among them novelists Hugh MacLennan, Robertson Davies, W.O. Mitchell and Adele Wiseman. Both Eayrs and Gray were visionaries who shared a deep commitment to fostering the literature of Canada, which they often published in difficult circumstances and at considerable financial risk.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.031 | 0.013 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".