La "bienveillance" du Séminaire de Québec envers les habitants de sa seigneurie de Beaupré? : de 1664 à nos jours
Bibliographic record
Abstract
"Le 15 janvier 1636, la Compagnie de la Nouvelle-France, connue sous le nom de Compagnie \ndes Cent-Associés, distribue un imposant lot de terres, soit les seigneuries de Beaupré et \nde l’île d’Orléans, à la Compagnie de Beaupré : une société composée de huit actionnaires \ndont six sont membres des Cent-Associés. En ce qui concerne Beaupré, seigneurie présente \ndans les limites territoriales de la juridiction du gouvernement de Québec, sa façade suit \nl’hydrographie du Saint-Laurent. Elle s’étend sur 15 lieues de front, au nord du Fleuve, par \n6 lieues de profondeur. Son territoire est composé de terres forestières non défrichées, "allant \nd’une forêt mixte à tendance résineuse à une forêt de feuillus", qui sont en majeure \npartie montagneuses, notamment au Nord. […]"
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; both teacher heads agree on what is shown here.
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".