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Record W1543732713

Veterinarians' salaries: gender differences real or imagined?

2003· letter· en· W1543732713 on OpenAlexaboutno aff
Sally L. Cleland

Bibliographic record

VenueThe Canadian veterinary journal = La revue veterinaire canadienne · 2003
Typeletter
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSalarySeniorityMedicineFeminization (sociology)Family medicinePsychologyVeterinary medicinePolitical scienceGender studiesSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Dear Sir, I thank Dr. Damant for her letter and will attempt to address some of the points that have been raised. First, I would like emphasize that the President's Message does not represent the views of the CVMA on gender issues in veterinary medicine. I developed the President's Message after reviewing the body of veterinary literature on this topic. I agree that incomes of men and women in the veterinary profession are less than optimal, and women are faring less well than men in this regard. A 2000 CVMA National Survey of Graduates (1997, 1998, 1999 Canadian veterinary graduates) revealed that the average annual salary of female graduates working an average of 1980 h/y was $45 000 (22.22/h) and that of male graduates at 2055 h/y was $50 000 ($24.46/h). The trend in compensation differences by gender persisted by practice type and by seniority ( 2 y out), excepting for associates 2 y postgraduation. Similarly, the Brakke Management and Behavior Study (1) conducted in the United States in 1998 revealed that women with the same ownership status, years of experience, and hours worked earned dramatically less than their male counterparts. I disagree that feminization is occurring to a lesser degree in the veterinary profession than in human medicine and dentistry. Women comprise 50% to 60% of medical students in the United States and Canada today and 50% of students in most Canadian dental schools (2,3). In contrast, many veterinary colleges (including some in Canada) report that close to 80% of their student population is female. I agree that men, on average, may have lower academic grades than women. However, in my experience and in that of other associate deans across North America, men compete well when they choose to apply for admission to veterinary colleges. The proportions of men and women in the applicant and admitted pools are almost identical, but men are not applying to veterinary colleges in the same proportions. I did not state that men are not caring or nurturing, neither did I categorically state that the caring and nurturing aspects of the profession have been enhanced by the increased participation of women in the profession. My statement reads “...may have been enhanced.” The CVMA has been devoting considerable resources and energy towards improving the economic well being of the veterinary profession in Canada through its National Benchmarking Program, as part of its priority, The Successful Practice of Veterinary Medicine.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.012
Insufficient payload (model declined to judge)0.0050.001

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 head0.296
GPT teacher head0.404
Teacher spread0.108 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

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