The Ontario Veterinary College after World War II: 1945-1953.
Bibliographic record
Abstract
After the Second World War (WWII) ended, an unprecedented number of students enrolled at the Ontario Veterinary College (OVC), creating the largest classes ever to study at the OVC. Although the greatly expanded student body tested the limits of the College and its faculty and facilities, the OVC implemented innovative solutions to cope with the increased enrollment. The hundreds of new students, most of whom were veterans, experienced a rich social and academic life at the OVC despite the crowded conditions. Using material from the archives records at the University of Guelph, published memoirs, and interviews with OVC alumnae (veterans and non-veterans), this paper examines the Ontario Veterinary College in the post WWII period from 1945 to 1953. Before the interviews were conducted, ethical clearance was obtained from the University of Guelph Research Ethics Board. Although a brief description of OVC after WWII was provided in F. Eugene Gattinger’s history of the first 100 years of the OVC (1), the emphasis was more on college leadership, particularly the OVC principals. In the present paper, analysis of the changes in personnel and facilities and description of the student experience provide an in-depth presentation of the postwar period at the OVC.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".