Nonverbal assessment of the Big Five personality factors
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
The Nonverbal Personality Questionnaire (NPQ) is an experimental, structured, nonverbal measure of 16 personality traits. Its items lack verbal content and, therefore, the inventory is useful for cross‐cultural research. Our goal is this research was to select a subset of the NPQ items to form a new nonverbal questionnaire based on the Five‐Factor Model of personality. We describe the construction of the Five‐Factor Nonverbal Personality Questionnaire (FF‐NPQ), and present data on its psychometric properties. These data include scale internal consistencies, intercorrelations, convergences with verbal measures of the Big Five factors, discriminant validity correlations, correlations with peer ratings, and ability to predict socially important behaviour criteria such as smoking and alcohol consumption. In a second study, we report on the psychometric properties of the FF‐NPQ in an independent sample of respondents from seven different countries. The utility of the new nonverbal inventory for cross‐cultural research is discussed. Copyright © 2001 John Wiley & Sons, Ltd.
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 | 0.004 | 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 | 0.000 | 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) | 0.004 | 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