A Descriptive Analysis of Personality and Gender at the Louisiana State University School of Veterinary Medicine
Bibliographic record
Abstract
The goals of this study were to explore the Myers-Briggs Type Indicator profile and gender differences of Louisiana State University veterinary students. A 12-year composite sample (N = 935) revealed that the personality profile was different from the published US population norm, but similar to the bimodal ESTJ-ISTJ profile found in Louisiana medical students. Significant gender differences were found among six of the 16 types. A 12-year trend analysis revealed a significant shift away from the prototypical ESTJ-ISTJ profile, culminating in a discernable heterogeneous profile for both males and females in the last four years. Composite scores for the 2004-2007 cohort (N = 331) revealed that the predominant types for women were ENFP, ESFJ, ESTJ, ISFJ, and ISTJ. For men, the predominant types were ESTJ, ESTP, INTP, and ISTJ. Post hoc tests confirmed significant gender differences for ESTP, INTP, ISTP, and ESFJ types. The evidence of significant gender differences and confirmation that personality profiles have begun to vary widely across the Myers-Briggs Type Indicator spectrum in the last four years have implications at the practical and theoretical levels. This could have profound effects on pedagogical considerations for faculty involved in veterinary medical education.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".