MétaCan
Menu
Back to cohort
Record W3205979003 · doi:10.1177/10690727211044765

Academic Majors and HEXACO Personality

2021· article· en· W3205979003 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Career Assessment · 2021
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsBrock UniversityUniversity of Calgary
Fundersnot available
KeywordsConscientiousnessFacet (psychology)PsychologyExtraversion and introversionOpenness to experienceSocial psychologyPersonalityBig Five personality traitsThe arts

Abstract

fetched live from OpenAlex

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.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.068
GPT teacher head0.412
Teacher spread0.343 · 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