Connaître et comprendre le passé pour réfléchir au devenir de la société québécoise. La contribution de Serge Gagnon à l’historiographie religieuse
Bibliographic record
Abstract
Cet article vise à retracer le parcours de Serge Gagnon et à mettre en lumière l’apport de ses recherches en histoire religieuse, ainsi que les oeuvres et les auteurs qui l’ont influencé. Ses livres, écrits dans un style vivant et accessible, cherchent à reconstituer l’histoire de la pastorale, des moeurs catholiques et des conditions de vie matérielle des prêtres au Bas-Canada à partir d’une analyse qualitative d’un large corpus documentaire. En se fondant sur de nombreux exemples analysés finement, Gagnon montre comment s’exerce le pouvoir du clergé et tente de cerner les raisons qui conduisent les populations à adhérer au message de l’Église. Les ouvrages sont traversés par trois grandes influences : celle de la sociologie de la connaissance, celle de l’historiographie religieuse française et celle de sociologues américains critiques de l’individualisme et de la société de consommation. Ces derniers font écho au regard inquiet que Gagnon pose sur le mode de vie du Québec actuel en l’opposant au régime de moeurs catholique des communautés bas-canadiennes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".