Bibliographic record
Abstract
Don was born in East Oxford Township, Ontario, in the little town of Curries.The fourth child of six in his family, he enjoyed the years growing up on a farm, receiving public school training in Curries, and secondary education from Woodstock Collegiate.In May of 1930, Don was granted his Bachelor's degree from the Faculty of Forestry at the University of Toronto.From that time, life was spent in the north, first with the Ontario Forestry Branch in Sault Ste.Marie for five years, then with Consolidated Paper in Grand' Mbre, Quebec for seven years.There he met his future wife, Germaine, and they were married a year later in 1937.He returned to Ontario in 1942 to work under Ham Low at the Ontario-Minnesota Pulp and Paper, later Boise Cascade, in Fort Frances.The Company had just obtained its h t concession agreement with the Government, and was in the process of opening up the East Patricia in the Kenora division and the Seine in Fort Frances.In October of 1943, Don and his family moved to Kenora where they spent the next 20 years.During those years, Don lived through the introduction of many new ideas and technology, including the startup of the #10 paper machine in Kenora, suggestive of the later kraft mill, and the beginning of planting in 1950 with operations certainly small compared to today's standards.Don returned to Fort Frances in May 1963 along with the relocated Forestry Dept.A moment of particular significance was the morning of 14 Dec. 1965, when they all learned they had become part of Boise Cascade Corp.After many years as Chief Forester, Don retired in 197 1.Retirement brought lots of time to devote to his love of gardening and tree farming.The Ontario "Environmental Assessment7' hearing proceedings were an item that he followed very closely.Don maintained a very strong interest in Forestry, and always welcomed a chance to get out in the woods to see what was going on.He was among the group of Foresters who formed the "Kenora Forestry Discussion Group" that eventually became the Lake of the Woods Section.A strong supporter of the CIF, Don and Germaine attended many National Meet-
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.026 |
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".