Le latin comme outil de grammatisation des langues « sauvages » en Nouvelle-France : à propos des notes du P. Louis André sur la langue algonquine outaouoise (introduction, édition du texte latin et traduction)
Bibliographic record
Abstract
Dès les débuts de l’installation des Français en Nouvelle-France, on voit les missionnaires se mettre à l’étude des langues autochtones et fabriquer presque simultanément différents outils d’apprentissage dans un effort manifeste de grammatisation. Ce processus de description des langues amérindiennes s’inscrit dans un mouvement plus général de linguistique missionnaire, dont les fondements théoriques reposent sur la croyance de l’époque en un langage mental originel. Le latin étant utilisé comme modèle de référence pour décrire les langues « sauvages », la perspective s’en trouve forcément faussée. Cet article propose une première réflexion sur ce phénomène en se fondant en particulier sur l’édition et l’analyse des « Notes sur l’algonquin » du P. Louis André, missionnaire auprès des Montagnais entre 1693 et 1709.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".