Bibliographic record
Abstract
In the 1640s, eight Jesuit missionaries met their deaths at the hands of native antagonists. With their collective canonization in 1930, these men became North America's first saints. Emma Anderson untangles the complexities of these seminal acts of violence and their ever-changing legacy across the centuries. While exploring how Jesuit missionaries perceived their terrifying final hours, she also seeks to comprehend the motivations of those who confronted them from the other side of the axe, musket, or caldron of boiling water, and to illuminate the experiences of those native Catholics who, though they died alongside their missionary mentors, have yet to receive comparable recognition as martyrs. In tracing the creation and evolution of the cult of the martyrs across the centuries, Anderson reveals the ways in which both believers and detractors have honored andpreserved the memory of the martyrs in this "afterlife," and how their powerful story has been continually reinterpreted in the collective imagination. As rival shrines rose on either side of the U.S.-Canadian border, these figures would both unite and deeply divide natives and non-natives, francophones and anglophones, Protestants and Catholics, Canadians and Americans, forging a legacy as controversial as it has been enduring.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.025 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".