Correlation Self-Compassion and Happiness among University Students in Timor-Leste: Gratitude as Moderation Variable
Bibliographic record
Abstract
Happiness is important for humans because happiness experienced by each is closely related to high self-compassion. Individuals who have a high understanding of the events they experience tend to feel happy. The relationship can be strengthened by gratitude. The purpose of this study was to find out the relationship between Self-compassion and happiness moderated by gratitude to students. The subject in this study was 316 students. Instrument research uses the Self-compassion Scale (SCS), The Oxford Happiness Questionnaire (OHQ) and the Gratitude Questionnaire (GQ). The analysis of the data used the Moderated Regression Analysis (MRA). The results showed that there was a positive and significant relationship between self-compassion and happiness which was moderated by gratitude (β = .29 and p = .046), and self-compassion contribution with happiness was moderated by gratitude which was equal to 18.1%.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".