La résidence Wikwemot. Avenues pour la préservation et la mise en valeur du patrimoine culturel et informationnel anicinabe par la co-création intersectorielle ( <i>nagejétowin</i> )
Bibliographic record
Abstract
Cet article met en lumière la résidence de co-création intersectorielle ( nagejétowin ) Wikwemot. Il souligne comment cette initiative contribue à la préservation et à la valorisation du patrimoine immatériel, informationnel et culturel anicinabe. En outre, il souligne l’importance cruciale des porteuses et des porteurs de savoirs traditionnels autochtones dans le processus de médiation numérique. Cette approche favorise l’accroissement de la souveraineté numérique et répond aux enjeux des Peuples autochtones à l’ère numérique. Enfin, elle met en relief la contribution significative des savoirs traditionnels anicinabek à l’enrichissement de la démarche de co-création intersectorielle ( nagejétowin ).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.007 |
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".