Bibliographic record
Abstract
From navigating muddy trenches to years of stark poverty, Mary Riter Hamilton safeguarded her paintings and sketches through great adversity.Loyal to her country and family, she donated 227 works to the Public Archives of Canada (now Library and Archives Canada), distributing her remaining works among her extended family and friends, whose descendants have since served as stewards of her paintings, ephemera, and memories.I thank the executor of Mary Riter Hamilton's work, Ronald T. Riter, and his wife Roberta for their unstinting support: they opened their Vancouver home to me and made available their treasures, many of which hung on walls throughout the house, and some even stored under their bed.I am equally grateful to the descendants of Margaret Janet Hart on Vancouver Island who generously donated Hamilton's battlefield letters to my mlc Research Centre Archive, and to all descendants who shared with me rare works in their possession along with granular insight into Hamilton's family history.They include the late Mary W. Higgins in Victoria, bc, daughter of Hamilton's close friends Rosalind and Henry Young; Mae and James A. Pankiw in Miami, mb; Murray Riter in Darlingford, mb; John Riter in Miami, mb; Lorna and Lorne Stevens in Winnipeg, mb, Lorna being a descendant of the Zimmerman branch of the artist's family (her great-greatgrandmother was Eliza Jane Zimmerman); and Theresa Thomas in Logan Lake, bc.I am grateful to the late Margaret (Peggy) Thorburn (1933Thorburn ( -2014) ) in Calgary, ab, for donating a silk scarf painted by Hamilton and to Thorburn's nephew Duff Shaw in Mississauga, on, a former professor at Ryerson who met with me and my team for lively discussions.I thank the Uno Langmann Gallery in Vancouver for sharing their beautiful Mary Riter Hamilton art collection -Uno's passion
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.594 | 0.379 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".