Bibliographic record
Abstract
The average veterinarian in Canada worked an incredibly civilized number of annual hours in 2008. Last year, the median number of annual hours was 1632 h, which can be translated into 7 h/d, 5 d/wk, with 3 wk vacation and 2 wk of statutory holidays. This is a far cry from the 2130 annual hours recorded in 1992 (1). At an astonishing decrease of 31 fewer hours per year over the past 16 years, the average veterinarian in Canada is working 496 h less than was the case a decade ago. Increased wealth in the profession and the successful pursuit of a professional lifestyle have allowed veterinarians to earn more, while working less. The information provided in this article comes from the results of the 2008 CVMA Practice Owner’s Economic Survey. The estimates are based on 1768 observations and are accurate to +/− 1.8%, 19 times out of 20. While it is clear that the annual number of hours worked has gone down, there are significant variations around the average when the data are broken down by province, type of employment, and ownership status. Generally speaking, practice owners work longer hours than associates, mixed and large animal veterinarians work longer hours than companion animal veterinarians, and there are considerable variations in hours worked from province to province.
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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 | 0.000 | 0.000 |
| 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".