Academic Majors and HEXACO Personality
Bibliographic record
Abstract
Self-reports on the HEXACO-PI-R scales were examined in relation to academic majors in post-secondary education ( N > 73,000). Openness to Experience showed the largest mean differences across academic major areas, with the Visual/Performing Arts and Humanities areas averaging higher and Health Sciences and Business/Commerce averaging lower. Emotionality showed the second largest differences, with the Engineering and Physical Sciences/Math areas averaging lower and Visual/Performing Arts averaging higher; these differences in Emotionality became smaller in within-sex analyses. In addition, Extraversion tended to be higher for Business/Commerce and lower for Physical Sciences/Math, while Honesty-Humility was lower for Business/Commerce. The facet-level analyses provided additional detail, as facet scales in the same domain sometimes showed considerably different means within a given academic major area. In one case, Visual/Performing Art majors averaged lower in Prudence, but higher in Perfectionism, even though both facets belong to the Conscientiousness domain.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".