Bibliographic record
Abstract
Residential school life through the eyes of a child Enos Montour’s Brown Tom’s Schooldays , self-published in 1985, tells the story of a young boy’s life at residential school. Drawn from Montour’s first-hand experiences at Mount Elgin Indian Residential School between 1910 and 1915, the book is an ironic play on “the school novel,” namely 1857’s Tom Brown’s Schooldays by Thomas Hughes. An accomplished literary text and uncommon chronicle of federal Indian schooling in the early twentieth century, Brown Tom’s Schooldays positions Brown Tom and his schoolmates as citizens of three worlds: the reserve, the “white man’s world,” and the school in between. It follows Tom leaving his family home, making friends, witnessing ill health and death, and enduring constant hunger. Born at Six Nations of the Grand River in 1899, Montour earned degrees in Arts and Divinity at McGill University and served as a United Church minister for more than thirty years, honing his writing in newspapers and magazines and publishing two books of family history. Brown Tom’s Schooldays reflects Montour’s intelligence and skill as well as his love of history, parody, and literature. This critical edition includes a foreword by the book’s original editor, Elizabeth Graham, and an afterword by Montour’s granddaughters, Mary Anderson and Margaret McKenzie. In her introduction, historian Mary Jane Logan McCallum documents Montour’s life and work, details Brown Tom’s Schooldays ’s publication history, and offers further insight into the operations of Mount Elgin. Entertaining and emotionally riveting, Montour’s book opens a unique window into a key period in Canada’s residential school history.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 0.009 |
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".