Honesty‐Humility, the Big Five, and the Five‐Factor Model
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
This study investigated the relations of the proposed sixth factor of personality, Honesty-Humility, with the dimensions of the classic English lexical Big Five and the closely related Five-Factor Model (FFM). Results showed that although Honesty-Humility was largely unrelated to markers of the Big Five factors, it was substantially correlated with the FFM Agreeableness domain. This relation was largely due to the Straightforwardness and Modesty facets of FFM Agreeableness, which were only weakly correlated with the Big Five version of Agreeableness. A realignment of FFM facets to produce separate Honesty-Humility and Agreeableness factors provided better prediction of personality variables that involve deceit without hostility, such as Social Adroitness and Self-Monitoring. Results indicate the importance of assessing Honesty-Humility as a separate factor.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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