Bibliographic record
Abstract
Gabriel Breynat, Catholic bishop of the Mackenzie from 1901, claimed chronic illness due to the harsh task of evangelizing “the ends of the earth,” though he did not see the arctic coast for decades. Endless symptoms, combined with a grim “idea of north” among Vatican figures, fed the perception of his near-martyrdom to the cold. To play this to advantage, Breynat benefited from the emergence of neurasthenia as popular diagnosis, of rest as treatment, of intense medicalization of hydrotherapy in France, of the need for heroes in that country, and of Rome’s renewed interest in missions. Throughout, the role of suffering “bishop of the Pole” raised his status, brought support for good works, and made staff (nuns, priests, and brothers) work increasingly hard. While he sought health in far-off spas and wealthy widows’ homes, they struggled to effect his plans, including a hospital for Inuit to mark his reign’s silver anniversary. Western medicine, it turned out, seldom helped gain souls, yet its constructs can be key to grasping the white side of missions—both on site and at the heart of the church.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".