An Italian Jesuit in Canada: Faith and the Imagination in the 'Breve Relatione' of 1653
Bibliographic record
Abstract
My paper entitled “An Italian Jesuit in Canada: Faith and the Imagination in the Breve Relatione of 1653” was presented on October 20 in the Northrop Frye Hall. \nIt was part of a session on the Counter-Reformation and Catholic Missions and included papers by Francesco Divenuto from the University of Napoli and Jens Baumgarten of the Federal University of Sao Paulo, Brazil. \n \nA copy of my paper is attached with this report. \n \nMy paper on Francesco Bressani’s Breve Relatione was well received and stimulated \nsome questions on the general reception of Bressani’s book and message in Italy. \nHow was Bressani regarded by his contemporaries? \nWhat evidence do we have about the reception of Bressani’s book in Italy? \n \nBressani’s construction of himself as a hero of the missions and, in fact, a living martyr also raised questions about his own intentions and those of the Jesuit order. \nIs this self-construction typical of Baroque artists and writers? \n \nThese are questions that I will need to investigate in future work on this historical figure and this peculiar book. There were no negative comments on this paper. \n \nThe Centre for Reformation and Renaissance Studies is planning to publish some of the papers from the conference and I plan to submit this paper for consideration. They will be sending me deadline information.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.047 | 0.035 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".