Meaning making in the context of the COVID-19 pandemic: effects of purpose in life, positive reframing, acceptance, and event appraisal
Bibliographic record
Abstract
In a continuously changing world, we are confronted with stressors that may have negative impacts on well-being across our lifespan. Consequently, having and preserving internal psychological resources is important. In Park and Folkman’s meaning making model, purpose in life may guide individuals through meaning making processes when stressful age-graded events are encountered. Based on this model, we tested the role of purpose in life in the context of COVID-19 in two samples of emerging adults. First, a cross-sectional structural equation model (SEM) showed that there was an indirect effect of purpose in life on distress, via adaptive appraisal of the event and greater engagement in positive reframing. Second, a longitudinal SEM indicated that across an 8-month period, acceptance and positive reframing predicted purpose, and changes in purpose mediated the relation between using acceptance at T1 and maintenance of purpose at T3. Implications for the meaning making model are discussed.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".