Being Flexible in Zuckerman’s Alternative Personality Space
Bibliographic record
Abstract
Abstract: Psychological flexibility has attracted significant research interest but surprisingly, investigations about the relationships with personality traits from the biological models of personality have been neglected. The present study therefore aimed to shed more light on the nature of the relationship between psychological flexibility and personality dimensions from Zuckerman’s Alternative Five-Factor Model (AFFM) based on a sample of 398 adults. Psychological flexibility was negatively associated with neuroticism and positively associated with extraversion, aggressiveness, and sensation seeking. Lower neuroticism, higher extraversion, and being a woman significantly predicted approximately 39% of the variance in psychological flexibility. A joint exploratory factor analysis found psychological flexibility located in the neuroticism factor of personality. Findings show that the AFFM can be used as an adequate personality model in explaining the nature of psychological flexibility-inflexibility based on the associations between their sub-processes and lower levels of personality traits. The nature of the relationships between psychological flexibility with both sensation seeking and aggressiveness requires closer investigation.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".