Repenser les grands récits sur Marie-Anne Gaboury à partir d’une perspective wahkotowin
Bibliographic record
Abstract
Notre texte vise à repenser la construction du récit de Marie-Anne Gaboury à partir d’une perspective wahkotowin (ses lois, éthiques et pratiques) afin d’établir une relation saine au territoire, avec nos relations Métis ainsi qu’avec d’autres peuples autochtones. Notre recherche contribue à valoriser la perspective féministe autochtone afin de réimaginer le récit dominant à partir d’une perspective relationnelle et de démanteler la hiérarchie des savoirs produite et reproduite. Les grands récits sur Marie-Anne Gaboury rendent invisibles le vécu et la contribution des femmes Métis, Cris, Saulteaux (le système de gouvernance matriarcale) de l’Ouest. C’est comme si son histoire était isolée des contextes social et politique des femmes du territoire et du mouvement de résistance historique et contemporain. On en vient à se demander: qui donc profite des grands récits et qui est Marie-Anne Gaboury en relation avec les femmes autochtones ou vice versa? Qui est-elle au-delà du nom d’une rue, au-delà d’être la première femme blanche/francophone dans l’Ouest, au-delà d’être la grand-mère de Louis Riel ?
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| 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; 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".