Bibliographic record
Abstract
The Métis are a post-contact Indigenous People whose origins lie in the buffalo hunting economy of the late 18th-/early 19th-century northern plains, where their mobile society flourished, in relations with their First Nations relatives, by the mid-19th century. Their culture evolved through a distinctive combination of identity, language, land tenure, economic niche and family kinscapes. Much of the literature pertaining to Métis populations has taken for granted the self-identification by respondents of large-scale surveys and the census as a basis for estimating socio-demographic and epidemiological characteristics. This is deeply problematic to the extent that it diminishes the power of Métis governments (provincially) to provide policy-relevant estimates of their citizens’ population-level characteristics. In this chapter, we will explore this literature with an eye for investigating how an over-emphasis on self-identification can artificially inflate Métis population data for citizens of the Métis nation. Drawing on a conceptual case study, we will explore the current data situation of the Métis nation in Canada and suggest that compared to other Indigenous nations in other nation-states, Métis data sovereignty is limited to geographical regions with no national strategy, and thus is still largely reliant on existing and externally generated national census data.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, 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".