<i>Moya `Tipimsook</i>(“The People Who Aren't Their Own Bosses”): Racialization and the Misrecognition of “Metis” In Upper Great Lakes Ethnohistory
Bibliographic record
Abstract
Scholars have long noted the central place of racialization in the last five centuries of colonial rule and likewise the crossracial encounters and eventual colonial intimacies regulated in its shadow. In the conceptual terrain posted by these demarcations, this article explores how, in the absence of extensive documentation on historical self-ascriptions, contemporary ethnohistorians examining upper Great Lakes fur trade settlements have attempted to come to terms with the historical social ontologies that long preceded official attempts to regulate them. Specifically, we examine the racialized logics governing the retrofitting of these settlements as “métis” and “Métis” and, secondarily, the recent creep of juridical logics into ethnohistorical conversations. Rather than challenging ethnohistorical conclusions that these settlements were/are Métis, this article challenges how they are ethnohistorically imagined as such, and in doing so it appeals for a Métis “counter-ethnohistory” alternatively anchored in an analytics of peoplehood.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".