Bibliographic record
Abstract
As a life-long resident of the Ottawa Valley, it is most appropriate that we honour the memory of Ewan Caldwell for his contributions to forestry in this historical region of Canada.Ewan's ancestor's were among the pioneers who opened up the Ottawa Valley timber trade with harvests of white pine in Lanark County, and river drives down the Clyde, Mississippi and Ottawa Rivers.Several generations later, Ewan himself worked on the timber harvest but also devoted considerable effort to improving forest management and fire protection in the forests of the Ottawa Valley.Following service in the Canadian Army from 1940 to 1945, Major Caldwell pursued a career in forestry.In 1948 he graduated in forestry from the University of New Brunswick and in 1954 from Laval as a forest engineer.His summers as a student were spent working for Gillies Brothers and Company at Braeside, near Arprior, on the Ottawa River, where he eventually assumed a full-time position, becoming Woods Manager in 1960.When he retired in 1983 he was Ottawa Division Woodlands Manager for Consolidated Bathurst.Ewan's active involvement in forestry has included being involved as a founding member of the Ontario Professional Foresters Association, chairman of the Ottawa Valley Section of the Canadian Institute of Forestry, Canadian Pulp and Paper Association and an active participant on many forestry committees over the years.In 1996 he was presented with the Ross Silversides Forestry Award by the Eastern Ontario Model Forest in recognition of his significant contributions to forestry.Perhaps one of his most sigmficant contributions was the role he played in encouraging the Province of Ontario to recognize white pine as a viable species for planting.For several decades foresters had avoided planting white pine because of concerns over weevil and blister rust damage.Ewan convinced every one that this species was too important to ignore and that while there were problems, a planting program was essential.Together with government forester Phil Anslow they
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.222 | 0.100 |
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".