“Her Duty to Canada”: Henriette Feller and French Protestantism in Québec
Bibliographic record
Abstract
George McTaggart's house sits across the road from the tiny clapboard Baptist church, the only landmark in the postage-stamp sized, rural town of Saint-Blaise, Québec, a town where, as inhabitants confide, “Protestants and Catholics have always had a love-hate relationship.” McTaggart will probably be mowing the long fields behind his narrow farm with his tractor, just as he was the day we met him. He speaks English with a Scots brogue and French with the characteristic Québecois broadness. He has wise eyes, wrinkles like a topographic map, and a mischievous sense of humor. Pushing eightyfive, he remembers virtually every event in his long life, every person he has ever known, but he speaks with special animation about someone he never met, a strong-minded, charismatic, independent Swiss woman named Henriette Feller.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".