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Record W4410002875 · doi:10.51238/38z7fp6

Joseph-Pierre de Bonnécamps: A Jesuit Scientist Living in Turbulent Times

2025· article· en· W4410002875 on OpenAlexaboutno aff

Bibliographic record

VenueJesuit Educational Quarterly · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies in Science
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Joseph-Pierre de Bonnécamps, S.J. (1707–90), was a Jesuit scientist, educator, and hydrographer whose career intersected with key events in 18th-century French colonial history. Trained in mathematics and hydrography, he taught at the Jesuit College in Quebec (1744–59) and participated in the 1749 Céloron expedition, documenting geographic, botanical, and cultural observations in his journal. His meticulous measurements and maps contributed to French strategic efforts in North America. Following the fall of Quebec in 1759 and the suppression of the Jesuits in France, Bonnécamps returned to pastoral work, including a controversial assignment in Saint-Pierre. Ultimately, he spent his later years as a tutor and scientific observer in Brittany. His life offers insight into the roles Jesuits played as educators, scientists, and intermediaries between military, political, and Indigenous communities. This study reexamines Bonnécamps’s contributions, situating him within the broader scientific and geopolitical transformations of his time.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.009
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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