Survey of Factors Influencing Faculty Decisions on International Veterinary Work
Bibliographic record
Abstract
Faculty members at US colleges of veterinary medicine can encounter opportunities to work as a veterinarian in a foreign country. Institutions, governments, and other organizations can more effectively recruit faculty for these positions if they understand the characteristics of the individuals who are most likely to participate in these programs. The purpose of this study was to determine what characteristics influence veterinary faculty's desire to participate in foreign programs. Results illustrated that position type (tenure, clinical), rank (assistant professor, associate professor, full professor), gender, and the presence of pre-elementary aged children were significantly associated with willingness to work in a foreign country. In addition, survey respondents who indicated that the duration of the assignment was of high importance were less willing to travel than respondents who indicated that the duration of the assignment was of moderate importance or lower. The results from this survey provide important information about the characteristics of individuals more willing to participate in foreign programs. This information allows targeted recruiting by organizations, facilitating veterinary work in foreign countries.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".