Survey of western Canadian veterinary practices: A demographic profile.
Bibliographic record
Abstract
A mixed-mode survey was used to describe the demographics of the veterinary profession in western Canada and to assess the demand for veterinary practitioners. Data were received from 655 practices (response rate = 52%), providing demographic data on 1636 individual practitioners. Most (60%) respondents self-classified their practices as exclusively small animal, while 25% and 4% were mixed animal or exclusively food animal practices, respectively. Across all practices, 77% of practitioners' time was devoted to small animals and the average mixed animal practice devoted 60% of practitioners' time to small animals. After accounting for practices that did not respond, there were ~300 full-time equivalent (FTE) vacant positions for veterinary associates; however, only 12% of practices were in urgent need of hiring an associate veterinarian. This report informs both prospective employees and employers on the state of the marketplace for veterinary associates, and provides an overview of the demographics of the veterinary profession in western Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".