Bibliographic record
Abstract
Le grand tremblement de terre de 1663 frappa des centres de peuplement de la vallée du Saint-Laurent, en Nouvelle-France, durant les exubérants derniers jours du carnaval, un festival bruyant que le clergé désapprouvait en raison de la frivolité due à l’ivresse et de l’indifférence face aux rites solennels précédant le carême. La débauche du carnaval annuel constituait un rappel désagréable des excès causés durant toute l’année par le commerce de l’eau-de-vie, autorisé par l’administration coloniale malgré l’opposition de l’Église. Pour les observateurs missionnaires, ce bouleversement géologique si dramatique apparut comme un message divin d’avertissement et de soutien à leur condamnation des citoyens dissolus, des marchands sans scrupules et des administrateurs arrogants. Cet article tient compte de tous les témoignages publiés de témoins oculaires du tremblement de terre de 1663 et les compare aux recherches sismologiques récentes dans le but d’analyser la construction sociale de cet événement géophysique.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".