Revitaliser les cultures et les langues autochtones au Canada : les nouvelles initiatives de Bibliothèque et Archives Canada
Bibliographic record
Abstract
Le Gouvernement du Canada reconnaît le droit de revitaliser et de protéger la culture, la langue, la tradition orale, l’histoire, les arts et la littérature des peuples autochtones. Considérant la richesse de ses collections autochtones, publiées ou archivistiques, Bibliothèque et Archives Canada (BAC) joue un rôle important dans le maintien de ces droits. BAC a développé deux initiatives aspirant à promouvoir et à préserver les cultures autochtones au Canada. La première, Nous sommes là : voici nos histoires, vise la numérisation des documents de BAC relatifs aux autochtones et est guidée par les besoins de ces derniers. La seconde, Écoutez pour entendre nos voix, a pour objectif de soutenir les communautés et d’autres partenaires dans la préservation des enregistrements en langue autochtone dont ils sont dépositaires. Ces deux initiatives s’appuient sur une stratégie d’engagement qui inclut une gouvernance partagée, la production participative (crowdsourcing) et la création d’emplois spécialisés dans les communautés.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.028 | 0.013 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".