Nindoodemag: Anishinaabe identities in the eastern Great Lakes region, 1600 to 1900
Bibliographic record
Abstract
Anishinaabe peoples of North America's Great Lakes region include people known as Algonquin, Chippewa, Ojibwe, Mississauga, Potawatomi and Ottawa or Odawa. These labels reflect imposed European categories of political organization such as nation or tribe. This dissertation argues that a more nuanced political history of the region is possible by making use instead of indigenous ontological categories for socio-political organization, and indigenous terms of collective identity. While Anishinaabe is a general term that describes people who speak a common language and share a common cultural tradition, the region's political history becomes more sharply defined with attention to the role of the patrilineal kinship networks that represent the very heart and soul of Anishinaabe identity: nindoodemag . This dissertation explores the centrality nindoodem identity in Anishinaabe political tradition over three centuries and the role that this significant cultural institution played in shaping indigenous responses to contact, missionization, changing material relations, encroaching settlements and colonization. ...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".