Bibliographic record
Abstract
Inhabited by a diverse population of First Nations peoples, Métis, Scots, Upper and Lower Canadians, and Americans, and dominated by the commercial and governmental activities of the Hudson’s Bay Company, Red River - now Winnipeg - was a challenging settlement to oversee. This illuminating account presents the story of the unique legal and governmental system that attempted to do so and the mixed success it encountered, culminating in the 1869-70 Red River Rebellion and confederation with Canada in 1870. In Law, Life, and Government at Red River, Dale Gibson provides rich, revealing glimpses into the community, and its complex relations with the Hudson’s Bay: the colony’s owner, and primary employer. Volume 1 details the history of the settlement’s establishment, development, and ambivalent relationship with the legal and undemocratic, but gradually, grudgingly, slightly, more representative, governmental institutions forming in the area, and the legal system’s evolving engagement with the Aboriginal population. A vivid look into early settler life, Law, Life, and Government at Red River offers insights into the political, commercial, and legal circumstances that unfolded during western expansion.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".