Exploring the Moderating Role of Self-Compassion on Family Achievement Guilt and Psychological Ill-being in First-Generation and Non-First-Generation University Students
Bibliographic record
Abstract
The study examined the relationship between family achievement guilt, psychological ill-being, and self-compassion in university students.I hypothesized that family achievement guilt would be related to psychological ill-being and that self-compassion would attenuate the relationships between family achievement guilt and psychological ill-being.Supplemental analyses examined differences in family achievement guilt and psychological ill-being in first-generation and nonfirst-generation students.Using a cross-sectional design, participants (N = 533) completed an online survey.Though family achievement guilt was significantly related to psychological illbeing (βs = .20-.28), self-compassion did not attenuate the relationships between family achievement guilt and psychological ill-being, even when only first-generation students were included in the analyses.First-generation students reported significantly higher levels of family achievement guilt compared to non-first-generation students (d = .39).Researchers should investigate the possible adaptive features of family achievement guilt and alternative ways in which the maladaptive consequences of family achievement guilt may be reduced.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".