Stress Perception and Psychological Adaptation in College Students: The Chain Mediating Role of Positive Core Schema and Self-control
Bibliographic record
Abstract
This paper is to investigate the relationship between stress perception and psychological adaptation among college students, and the chain-mediated role of positive core schema and self-control. The present study used the Perceived Stress Scale (PSS), the Chinese College Student Adjustment Scale (CCSAS), the Brief Positive Core Schema Scale, and the Self-Control Scale (SCS) to administer the PSS, the CCSAS, the Positive Core Schema Scale, and the SCS to 917 college students. There was a significant negative correlation between college students' stress perception and psychological adaptation, positive core schema, and self-control; psychological adaptation showed a significant positive correlation with positive core schema and self-control; positive core schema was significantly positively correlated with self-control; the effect of college students' stress perception on psychological adaptation was not only reflected in the direct effect but also mediated by positive core schema and self-control through the chain. The effects of stress perception on psychological adaptation are not only in the direct effect but also through the chain mediation of positive core schema and self-control. Finally, this paper concludes that stress perception can affect psychological adaptation through the mediation of positive core schema, can have an effect through the mediation of self-control, and can also have a profound effect on psychological adaptation through the chain mediation of positive core schema and self-control.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| 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".