Bibliographic record
Abstract
The objective of this study was to determine the number of hours veterinarians in western Canada work per week, how they apportion their time by species, and clinics' hiring intentions for new veterinary associates. Of 1099 clinics contacted, 706 (64%) responded to the survey, representing 80% (1774/2227) of private practitioners in western Canada. Practitioners devoted 73% of their time to small animals (SA), 11% to beef practice, and 9% to horses. Sixty-four percent of clinics and 66% of practitioners were devoted exclusively to companion animal (SA and horses) practice; only 4% of clinics and 4% of practitioners were devoted exclusively to food animal practice. A total of 230 clinics were seeking to hire another veterinarian, representing 223 full-time equivalents (FTEs). When adjusted for clinics that did not respond, the total number of vacancies in western Canada could be as high as 347 FTEs with 57% of vacancies in companion animal practice. The survey, however, did not assess how determined the clinics were in their attempts to hire another associate.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".