The Dynamics of Personality States, Goals, and Well-Being
Bibliographic record
Abstract
The authors examine the within-individual dynamics of Big-5 personality states over time in people's daily lives. They focus on the magnitude of this within-individual variability, and the associations between personality states, short-term goals, and subjective well-being states. A total of 101 undergraduate students participated in a 10-day interval-contingent diary study. The authors' findings, based on multilevel procedures, establish a considerable amount of within-individual variability that is both (a) equal or larger than that observed between individuals and (b) larger or similar to other constructs assessed with a state approach (e.g., self-esteem and mood). In addition, both neuroticism and extraversion states are systematically related to the short-term pursuit of approach-avoidance goals. Finally, support was obtained for the mediating role of both neuroticism and extraversion states of the association between goals and subjective well-being. In sum, the authors' findings testify to the importance and utility of studying within-individual variability in personality states over time.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".