An investigation into differences between the structure of temperament and the structure of personality
Bibliographic record
Abstract
This article analyzes the differences between an activity-specific temperament model and the Big Five personality model using the Structure of Temperament Questionnaire--Compact (STQ-77). The STQ-77 has 3 emotionality scales and 9 scales assessing 3 dynamic aspects (arousal, lability, and sensory sensitivity) in 3 areas of activity (physical, verbal-social, and mental). The results of administration of the Russian STQ-77, NEO-FFI, and SSS-V to 174 Russian participants showed how components of temperament can represent the traits described in the Big Five model. The confirmatory factor analysis of the English STQ-77 and the results of a study involving a prolonged word classification task with 221 Canadian participants showed the benefits of the activity-specific approach, separating temperament traits in three areas of activity. Such specificity of temperament traits differentiates them from personality traits.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".