Personality as a predictor of changes in perceived availability of social support during the COVID-19 pandemic
Bibliographic record
Abstract
Personality is a well-established contributor to perceptions of social support availability, a coping resource that was particularly affected by the social repercussions of the COVID-19 pandemic. The present study uses lagged regression to examine the role of Big Five personality traits in predicting changes in perceived availability of social support during the COVID-19 pandemic among a sample of 1386 North Americans. Controlling for perceived availability of social support in 2020, we found that extraversion and conscientiousness were associated with greater perceived support in 2021, whereas neuroticism was associated with less. The findings provide insight into how perceived availability of social support, although often found to be stable, exhibited variability during the COVID-19 pandemic and point to personality as a key contributor to the process. Expanding on previously documented cross-sectional associations between perceptions of social support availability and Big Five personality traits, the present study reveals how such traits may serve as risk and protective factors and be used to identify those at risk of degradation in perceived availability of social support during times of heightened stress. In doing so, results also point to the potential clinical utility of brief measures of personality for preventive interventions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".