The many worlds of Louis Riel: a political odyssey from Red River to Montreal and back 1840-1875
Bibliographic record
Abstract
This dissertation is the product of fruitful new archival research into the life of Louis Riel, one of the best-known figures in Canadian history. His leadership of an armed Resistance in Red River in 1869, and his involvement in the violent events of 1885, which ultimately led to his execution, changed the course and definition of the Canadian state. New documents and new approaches to previously identified records overturn earlier interpretations of his life. This intellectual biography tracks Riel's life across several "worlds," Indigenous and non-Indigenous, that Riel occupied over the course of his life and considers his formative years through four key themes: family, education, political culture, and networking. The tensions and pressures between these worlds allowed Riel to develop the cultural expertise necessary to challenge Canadian state hegemony. The choice to end the biography in 1875, rather than with his death in 1885, affords an opportunity to present new arguments about the impact of his life. Using the cultural capital, social networks, and an intellectual "toolkit" he acquired over the course of his early years, Riel proposed a Confederation that would defend and represent the interests of the Métis.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".