Retrospective analysis of western Canada's veterinary profession for the period 1991 to 2007.
Bibliographic record
Abstract
Veterinary directories from Canada's 4 western provincial veterinary associations provided source data for compiling demographic profiles of the veterinary profession for the years 1991, 1996, 2001, and 2007. From 1991 to 2007 the number of veterinary practitioners in western Canada increased by 1197 (79%), for a net gain of 75 veterinarians/y. Of these, 786 (66%) were companion animal (CA) practitioners, 184 (15%) mixed animal (MA) practitioners, 96 (8%) food animal (FA) practitioners, and 131 (11%) were classified as "Other." The number of veterinary clinics also increased over this same period by 301 (38%), of which 266 (88%) were CA practices, 5 (2%) MA practices, and 31 (10%) FA practices. The majority of CA (75%), MA (68%), and FA (86%) practices had ≤ 2 veterinarians.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".