Bibliographic record
Abstract
Until recently, sources for Metis studies have been few both for classroom use as well as academic reflection. Lately, there has been a virtual explosion of interest, although largely among non-Metis historians. Now this to has begun to change. A new dynamic is also forcing Metis historiography out of the bog Red River in which some argue it has been mired for too long. The writings of the previous decades have already been examined from a historiographical perspective in several excellent articles. Rather than updating these useful exercises, an alternative is to examine the new literature from a topical perspective, posing questions and suggesting new avenues of investigation. The current literature is the reflection of scholarly concerns of the last two decades and fit into six basic themes or areas: the origins of the Metis people, the historic Metis of the fur trade period of the eighteenth and early nineteenth century, the Metis Diaspora of the mid to late nineteenth century, the revival of Metis consciousness in the twentieth century, Metis land claims, and Metis women's history. A case could be made that the beginning point in each of these areas are the great icons of Metis historiography: W.L. Morton, G.F.G. Stanley, and Marcel Giraud. However, their studies have been well assessed and often reinforce stereotypes, so it is best to look to more recent literature.
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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 | 0.026 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.009 | 0.043 |
| Scholarly communication | 0.029 | 0.057 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".