Bibliographic record
Abstract
Donald Stuart Richan, who was a well known member of the archival community in Canada, passed away on 22 February 2004, after a very brief but devastating struggle with cancer.Born in Winnipeg, Don grew up on the prairies, living in both Winnipeg and Moose Jaw.From the beginning, he was an outdoor enthusiast, but it was his early love of history and literature that motivated his career.He received his BA from the University of Saskatchewan in 1978, and completed his MA at the University of Regina in 1981.He then moved to Ontario to begin work on his Ph.D. in History, at the University of Toronto.The career of an archivist can be summarized in a good, sound archival chronology punctuated by the milestones that divide his fonds into its series and sub-series.From 1985-1989, he was the first Archivist of the City of Regina, working in the Saskatchewan Archives Board (SAB).From 1989-1991, he was Head of Reference Services at SAB.While there, he demonstrated excellent project management skills, overseeing a move of 35,000 boxes to temporary off-site storage and then their return, with nothing misplaced in the process.In 1991 he became Director, Historical Records, at the Saskatchewan Archives, and in 1994, he was appointed University
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.010 |
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".