Mary Quayle Innis: Faculty Wives' Contributions and the Making of Academic Celebrity
Bibliographic record
Abstract
Mary Quayle Innis (1899–1972) was instrumental in forging the career and legacy of her husband, Harold Adams Innis (1894–1952). Her labours on his behalf included typing, editing, writing, researching, preparing indices, curating his papers, revising his publications, and bringing his manuscripts to press. Quayle also ran errands, shopped, did laundry, prepared food, and provided care for Innis and their four children. She further often networked and hosted academic gatherings. All of this work made it possible for Innis to publish prolifically, advance his career, and become central to the English-Canadian academic canon. This article argues that it is time to give Quayle the credit she is due. It is also time to re-evaluate the importance of caring labour within the academy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".