Personality Traits Beyond the Big Five: Are They Within the HEXACO Space?
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.
Bibliographic record
Abstract
Paunonen (2002) recently developed the Supernumerary Personality Inventory (SPI), a measure of 10 traits that have low loadings within the space of the Big Five personality factors. If the SPI personality traits are representative of the domain of non-Big Five personality traits, then the major source of the variance in the SPI traits would be expected to correlate strongly with the sixth factor of personality, Honesty-Humility. We tested this hypothesis using self-report measures (N = 200) of the SPI traits, of the Big Five, and of the new six-dimensional ("HEXACO") structure. Results indicated that the first unrotated factor underlying the 10 SPI traits was heavily saturated with variance from Honesty-Humility (r = .65). Nevertheless, the 10 SPI traits contained substantial amounts of unique variance not accounted for by the HEXACO or the Big Five variables, highlighting the importance of the facet-level assessment of personality traits.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it