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Record W243172976

2011 report on veterinarians in industry, government, and academe.

2012· article· en· W243172976 on OpenAlexaboutno aff
Darren Osborne

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrivate practiceGovernment (linguistics)MedicineIncentiveCashWageEarningsFamily medicineBusinessPolitical scienceFinanceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Canadian veterinarians employed in government, industry, and academe (GIA) saw a drop in their incomes from 2010 to 2011. In a survey of 171 licensed GIA veterinarians, reported net incomes fell 4% from $110 000 in 2010 to $106 000 in 2011. Declining client numbers over the past 2 years have been picking away at incomes for veterinarians in private practice, and the latest results from veterinarians in government, industry, and academe suggest that veterinarians working outside of private clinical practice are not immune to the general economic malaise. The 2011 Survey of Veterinarians in Government, Industry, and Academe is a joint project between the Ontario Veterinary Medical Association, the Canadian Veterinary Medical Association, and the Canadian Animal Health Institute. Veterinarians across Canada are surveyed annually to gather demographic, and wage and benefit data. Income figures are represented in response to the question, “what was your total cash compensation (before taxes/excluding benefits) from your GIA employer (please include all monetary bonuses and sales incentives)?” Because the survey was anonymous, median figures were used to prevent erroneous results from severe outliers. The results are generally accurate to +/− 4.0%, 19 times out of 20. Most veterinarians employed in government, industry, and academe started out in private practice. When they began their training, 82% of current GIA veterinarians reported that they had intended on a career in private practice and 93% indicated they had been employed in private practice at some point in their career. Currently, 14% still work part time in clinical practice. The remaining veterinarians who left private practice for a career in government, industry or academe reported that they left private practice because they wanted to, not because they had to. The predominant reason for the move from private practice to government, industry, or academe was to pursue academic or personal interests. Fewer veterinarians moved away from private practice for negative reasons; some reported a move to reduce hours worked, to reduce stress, for financial reasons, or for health reasons (Table 1). Twenty percent reported that they were disillusioned with private clinical practice. Table 1 Income by type of employment By comparison, veterinarians in private practice earned more than veterinarians in government, industry, and academe. Even when broken down into the type of employment, veterinarians in private clinical practice earn more than the highest paid GIA veterinarians. For 2010, the highest paid veterinarians outside of private practice were those employed by industry or pharmaceutical companies. The second highest held positions were in universities and colleges. The ranks flipped in 2011, however, when industry/pharmaceutical veterinarians experienced a 5.6% drop in salaries while their counterparts in university and college experienced a 2% gain. Veterinarians employed at colleges and universities earned median salaries of $124 500 and those employed by industry and pharmaceutical companies dropped to $118 000. (The gains and losses in Table 1 come from the same sample. Respondents to the 2011 survey were asked to report personal incomes from 2010 and expected incomes for 2011.) Government-employed veterinarians earned the lowest incomes for both 2010 and 2011. Federal government employed veterinarians who earned $101 000 in 2010 saw a slight gain of 0.4% for 2011. Veterinarians in provincial government earned just under their federal counterparts with a median income of $100 000 in 2010 and after experiencing a drop of 1.5% saw their incomes fall to $98 500 for 2011 (Table 1). Seniority accounted for higher incomes for veterinarians in industry, government, and academe but new hires seemed to buck the trend. Veterinarians with less than one year experience in their current position earned median annual incomes higher than veterinarians with 6 to 10 years experience in their present position. Veterinarians with 1 to 2 years experience had the lowest annual incomes at $97 500. Those with 3 to 5 years experience earned 2% higher incomes at $99 500 and incomes jumped 6.5% for veterinarians with 6 to 10 years experience. GIA veterinarians with the most seniority (more than 10 years experience) earned median salaries of $130 000, 22.6% higher than the average. For the past 2 years, veterinarians in private practice have seen a decrease in active clients and have struggled to maintain their incomes. Veterinarians outside of clinical private practice employed in government, industry, and academe have suffered the same fate in 2011. Annual incomes were down 4% in the past year with the highest drop coming from the top category earner (industry/pharmaceutical), where incomes fell 5.6%. There was good news for newly hired veterinarians, who saw higher than average starting salaries suggesting a new trend in compensation, which could pull GIA veterinary incomes closer to their private practice counterparts.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.011
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0420.017

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 head0.412
GPT teacher head0.474
Teacher spread0.062 · 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
Published2012
Admission routes1
Has abstractyes

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