Review of <i> Bounty and Benevolence: A History of Saskatchewan Treaties</i> by Arthur J. Ray, Jim Miller, and Frank Tough
Bibliographic record
Abstract
This is a solid and useful contribution to the growing literature on the so-called "numbered treaties" with Native Peoples in the Canadian West. Its focus is on the five treaties negotiated with the First Nations whose homelands included parts of the present province of Saskatchewan: Treaties 4, 5, 6, 8, and 10, signed during the period from 1874 into the early twentieth century. Initially advertised with the subtitle A Documentary History of Saskatchewan Treaties, the volume indeed emphasizes evidence from and interpretations of written documents, some quoted at length. The authors note that the original intent was "to embody both oral and documentary evidence in a single account," but as time (and space?) prohibited this, Harold Cardinal and Walter Hildebrandt took on presenting the oral history as a separate project (Treaty Elders of Saskatchewan , 2000). These practical constraints are understandable but regrettable, since readers would have benefitted greatly from being able to view and compare the written (EuroCanadian) and oral (First Nations) evidence juxtaposed in one work. The analytical challenges would also have been greater, and the analysis perhaps deepened, had the authors been obliged to unify these source materials in a single connected text.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".