.3 Bands and Specific Claims p. 10
Bibliographic record
Abstract
30- 3 inch discs; 21 microfilm reels; photographs, 413 slides, over 732 digital images, and oversize materials. Stewart Raby, 69, died suddenly in his Regina home on 1 August 2009. The only child of Violetta and Edwin Raby, Stewart was born in Ossett, Yorkshire, UK, and immigrated to Canada in 1965 to take up a career as a professor, a scholar, and a leading authority on First Nations ‘ land claims. Stewart earned degrees from Oxford University and from the University of Alberta, before receiving his PhD in geography from the University of Wales at Swansea. In 1965 he began teaching first at the University of Saskatchewan, then at the University of Windsor, and finally in Ottawa. While in Ottawa, Stewart was hired as a Senior Researcher for the 1969 Barber Commission inquiry into Indian land claims. This in turn led to a staff position with the Federation of Saskatchewan Indian Nations (FSIN) in the early 1980s, where he served as Head Researcher on specific claims. Over the years, his work with FSIN was instrumental in the resolution of many important claims throughout Saskatchewan. Though raised in the Church of England, Stewart became a convinced Quaker (Religious Society of Friends) and was an influential member of Regina Allowed Meeting and Prairie Monthly Meeting. Music and literature were passions. Organized into 12 series:
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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.069 | 0.018 |
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".