Bibliographic record
Abstract
Cet article traite d’un ouvrage intitulé Abenaki Indian Legends, Grammar and Place Names et publié en 1932 par un éditeur de Victoriaville appelé La Voix des Bois-Francs. Son auteur, Henry Lorne Masta (1853-1943), est un Abénakis d’Odanak qui a passé la majeure partie de sa vie comme maître d’école. À une époque où pratiquement aucun auteur autochtone n’a encore été publié, Masta fait office de précurseur, car il est un des premiers auteurs autochtones au Québec, comptant même trois ouvrages à son actif. Afin de bien comprendre l’importance de l’oeuvre de Masta, nous allons, premièrement, nous intéresser aux premiers auteurs et intellectuels autochtones du Québec, mais plus particulièrement aux auteurs abénakis. Nous allons ensuite nous pencher sur la vie de Masta et décrire les circonstances ayant mené à la création de son dernier ouvrage. Finalement, nous allons aborder la réception de l’ouvrage dans la communauté scientifique, de cette époque jusqu’à nos jours.
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 | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.008 |
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".