"Under moral obligation to stay:" Herbert R. Christie and the Origins of Forestry Education at the University of British Columbia, 1910-1933
Bibliographic record
Abstract
Judging from the contrasting state of affairs at the forestry schools at the University of Toronto and the University of British Columbia, it is difficult to believe the situation that prevailed roughly eight decades ago. Today, UBC’s program is thriving whereas the forestry school at the University of Toronto is but a shadow of its former self. Exactly the opposite was true in the early twentieth century. Ironically, forestry education at UBC owes its existence to the profound commitment that Herbert Read Christie, a graduate of Toronto’s Faculty, showed to it in the years after the First World War. This article explores Christie’s role in building the UBC forestry school, and sheds light on the development of forestry as an academic discipline in Canada. -- En regard de l’évolution académique des écoles de foresterie de l’Université de Toronto et de l’Université de Colombie Britannique (UBC), il est difficile d’imaginer la situation qui existait il y a environ quatre-vingts ans. Alors que de nos jours, le programme de UBC s’avère florissant, les études en foresterie de l’Université de Toronto font piètre figure en comparaison de ce qu’elles étaient au début du XXe siècle où l’inverse prévalait. Il est ironique de souligner que le programme de foresterie développé à UBC, peu après la fin de la Première Guerre mondiale, est l’oeuvre de Herbert Read Christie, un diplômé de l’Université de Toronto en ce domaine. Cet article explore le rôle marquant joué par Christie dans l’implantation de cette école et de l’essor académique de cette discipline au Canada.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.052 | 0.048 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".