Interview with Nicole O’Bomsawin. Wampum and Abenaki Culture Between Past and Present
Bibliographic record
Abstract
An anthropologist and museum curator by training, Nicole O’Bomsawin is originally from Odanak and a member of the Abenaki First Nation. Between 1986 and 2006, she was the Director of the Abenaki Museum, Quebec’s first Indigenous museum institution (est. 1965). She now teaches anthropology at the Kiuna Institution and works in partnership with the Institut national de la recherche scientifique (INRS) in Quebec on the implementation of new strategies to foster closer collaboration between public bodies, research institutions, and Indigenous communities. In addition, she is involved with the Kapakan Alliance, an organization that promotes working with elders and coordinates a large number of intergenerational events and gatherings. Also a storyteller, Nicole O’Bomsawin regularly takes part in storytelling festivals to introduce the oral culture of the First Nations to a wider audience. Her pioneering work at the Abenaki Museum in Odanak and her commitment to the preservation and transmission of Indigenous oral traditions and knowledge have made her a key figure of Quebec’s Indigenous museum and cultural community.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".