Belief in a just world for the self and others, Karma, system justification and well‐being during <scp>COVID</scp>‐19 pandemic: Evidence from 15 Asian nations
Bibliographic record
Abstract
Abstract The World Health Organization (World Health Organization, 2020) announced the COVID‐19 outbreak as a pandemic. Globally, this situation affects people in various domains including mental health. Existing theories and research findings suggest justice beliefs are associated with mental health and may help to cope with adverse life circumstances. Participants (N = 3694) in 15 Asian nations completed measures of belief in a just world (BJW), Karma, system justification, well‐being indices and COVID‐19 impact. The results show that BJW for the self and system justification positively predicted well‐being while BJW for others provided reverse associations. Furthermore, Karma predicted both higher life satisfaction and depression. However, COVID‐19 impact did not moderate the relationships between justice beliefs and well‐being. The results provide various psychological functions but do not consistently indicate the buffering role of justice beliefs during COVID‐19 pandemic.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".