Review of <i> Urban Indian Reserves: Forging New Relationships in Saskatchewan</i> Edited by F. Laurie Barron and Joseph Garcea
Bibliographic record
Abstract
Although the four Saskatchewan urban reserves examined in this collection are not the only ones in Canada, or even in Saskatchewan for that matter, they are among the most interesting and instructive. Established between 1982 and 1996, the reserves in Prince Albert, Saskatoon, Fort Qu' Appelle, and Yorkton went through differing processes with strikingly similar results. Establishment of the Saskatoon and Yorkton reserves proceeded smoothly, but similar initiatives in Prince Albert and Fort Qu' Appelle had to overcome local opposition. Indeed, the Prince Albert urban reserve was established by the federal government over the municipality's objections. In spite of the mixed character of their births, the reserves about which editors Laurie Barron and Joseph Garcea had a group of academic and nonacademic authors write share a common inspiration and a similar track record.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.034 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".