Mystical Project, Social Networks, and Resource Mobilization: The Passage of Mary of the Incarnation in New-France in 1639
Bibliographic record
Abstract
Marie Guyart (1599-1672), better known as Marie de l’Incarnation, was born in Tours, and did not share into significant money or power. And yet, propelled by her “interior motor”, she succeeded in going to New France in 1639 to launch what most people around her considered an unrealistic project: establish a convent of the Ursulines in Quebec City, in order to teach French and Amerindian young girls. How did she succeed, from within her cloister, in transforming this mystical project into a social reality? We have studied how she strategically used social networks to mobilize the necessary resources. This social network approach had already proven useful for understanding the accomplishments of Paul from Tarse (Meeks, 1983), and of Ignatius of Loyola (Bertrand, 1985/1988); it has demonstrated its power in renewing the study of the links between mysticism and society. Mysticism inspires projects that find their expression in society using utterly human ways.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".