“Les Sçioux n’étoient bons qu’à manger”: La Colle and the Anishinaabeg-Dakota War, 1730–1742
Bibliographic record
Abstract
Abstract La Colle was an influential Anishinaabe ogimaa (leader) and mayosewinini (war chief) who led the Monsoni (moose) doodem (clan) in the Rainy Lake region during the 1730s and 1740s. A biographical study of La Colle not only restores an individual Indigenous voice to the tapestry of Native North America but also provides insight into a conflict between the Anishinaabeg, Nêhiyawak (Crees), Nakoda (Assiniboines), and Očhéthi Šakówiŋ (Dakota, Yankton, Yanktonai, and Lakota) that took place in the borderlands between Lake Superior and the Upper Missouri Valley. Ultimately, the conflict saw the beginning of a considerable reorientation of Indigenous geopolitics west of Lake Superior, which were, in part, driven by the actions of a cunning political and military leader—La Colle. By uniting Anishinaabeg, Nêhiyawak, and Nakoda into a coalition powerful enough to challenge the Očhéthi Šakówiŋ, La Colle made one of the most significant bids for power in eighteenth-century North America, one that eventually reconfigured the political, demographic, and environmental landscapes of the Northwest.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".