Bibliographic record
Abstract
It was the beginning of the most remarkable moment in my search for the Canadian footprint of Benedict Arnold, the infamous American traitor and a player in early Canadian history."I have something to show you ... We have his coat, you know."It was a sunny Sunday morning in July.Anita Winteringham, a longtime resident of Oxbow, Saskatchewan, and Arnold's great-great-greatgranddaughter, sat smiling at her kitchen table in a modern bungalow in the centre of town, half an hour into a conversation about family history.At eighty-one, the tiny white-haired holder of family memories peered out through glasses that magnified her lively eyes.When I telephoned from Ottawa, Anita had agreed to meet me to talk about the family's Saskatchewan history.I flew to Winnipeg on business, rented a car, and drove five hours south-east to Oxbow, near the Saskatchewan-Manitoba-North Dakota border.In a phone call the evening before our meeting she was less enthusiastic about seeing me, but eventually she relented.I could come by Sunday morning but not for long.It was Oxbow's seventy-fifth anniversary weekend and the family would be going out.Sunday morning at 10:00 A.M., I pulled up in front of her house.Anita was courteous and offered a coffee but she was a reluctant storyteller.Details and anecdotes of the early pioneering days were offered sparingly and only after much prodding and questioning.Anita's daughter, Dorothy Mae Usher, was visiting from Edmonton for the town celebrations."Tell him some of the stories you told us last night," she finally said to her mother, apparently taking pity on me and signalling that Anita actually had been preparing for my visit.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.661 | 0.466 |
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".