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Record W2419267076

The economics of veterinarians in government, industry, and academe.

2015· article· en· W2419267076 on OpenAlexaboutno aff
Chris Doherty

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)CommissionPrivate sectorPopulationMedicinePublic sectorFamily medicinePolitical scienceBusinessEnvironmental healthEconomic growthEconomicsFinance
DOInot available

Abstract

fetched live from OpenAlex

The average member of the public, when contemplating veterinarians, likely conjures up the image of a doctor in private practice, treating animals both large and small. While many veterinarians do fit this description well, a significant population of DVMs are in careers that vary from this common public image. These fields are typically categorized as Government, Industry, and Academe (GIA). The unique conditions experienced by veterinarians employed in these fields necessitate a distinct exploration of their economic conditions, separate from the general population of practicing veterinarians. Each year, the Canadian Veterinary Medical Association (CVMA) Business Management Program, the Ontario Veterinary Medical Association (OVMA) Business Development Program, and the Canadian Animal Health Institute (CAHI) commission a survey of veterinarians working in Government, Industry and Academe. The 2015 iteration of this survey garnered 220 respondents, a robust sample, allowing conclusions to be drawn with confidence. Veterinarians in GIA earned a median annual compensation that ranged from $87 555 to $128 000, while working a median of 1725 to 2115 annual hours, depending on the sector of employment. Those veterinarians employed in a university/college setting garnered the highest median compensation; however, this also came with the highest median annual hours worked. The largest populations of veterinarians in GIA were employed in industry/pharmaceutical, university/college, and federal and provincial governments (Table 1). Table 1 Median annual compensation and hours worked stratified by sector of employment. NA — not applicable Veterinarians employed in GIA had a very wide breadth of responsibilities within their roles. Technical services, regulatory roles, and teaching were the most common responsibilities; however, nearly all responses had large numbers of GIA veterinarians indicating what was an area of their responsibility. Almost a quarter indicated that their employment carried an “other” type of responsibility, with many specifying that their GIA role involved some clinical practice as a responsibility (Figure 1). Figure 1 Responses to the question “What are your areas of responsibility?” Across all sectors, veterinarians employed in GIA were provided with a median of 4 weeks of vacation. As experience and years within current position increased, the number of weeks vacation increased, with some cohorts receiving a median of 5 or 6 weeks of vacation; however, most GIA veterinarians reported 4 weeks of vacation. The benefits offered to veterinarians in GIA were varied, with some individuals having many benefit costs covered by their employer, while others shared the cost, or did not have a benefit offered at all. Licensing fees was the benefit most commonly paid entirely by a GIA veterinarian’s employer. Employee pension plans had the cost shared between employee and employer most often (Table 3). Table 3 Benefits offered by employers/Avantages sociaux offerts par les employeurs Veterinarians in GIA are similar to their colleagues in private practice with regard to benefits offered to pursue Continuing Education (CE). The majority of GIA veterinarians were offered monetary compensation for CE fees, with a median value of $2000. Most were also provided with time in which to pursue CE, with a median of 5 days off (Table 4). Table 4 Continuing Education benefits offered by employers Dr. Robert Van Delst, National Customer Development Manager with Hill’s Pet Nutrition Canada, expects to see more veterinarians employed in industry within service roles in the years to come. “We welcome veterinarians as they can be running soon after they hit the ground. They already know so much about caring for pets and veterinary practice and they can learn the service part of these roles. We like having veterinary professionals call upon other veterinary professionals.” explains Dr. Van Delst. Overall, a career in government, industry, or academe is competitive to one in private practice, with regard to compensation, hours worked, and benefits offered. The responsibilities may be different from those found in private practice, but many GIA veterinarians reported that clinical practice was a part of their role. This should be encouraging for those veterinarians who may be considering GIA, yet worry that they will lose the hands-on contact with animals that many enjoy. For more information, and the full results of the annual survey, please consult the 2015 Report on Veterinarians Employed in Government, Industry, and Academe. Available from the CVMA website: https://www.canadianveterinarians.net

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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.

Opus teacher head0.475
GPT teacher head0.455
Teacher spread0.021 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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