10.1708/0000.34024
Bibliographic record
Abstract
INTRODUCTION: Mindfulness indicates a state of mind, connected with attention and awareness that can be developed and cultivated through meditation. PURPOSE: The research hypothesis foresees that the mindfulness attitude significantly correlates with the psychological variables considered: anger, anxiety, depression and feelings towards oneself (self-hatred, inadequacy of the self and self-forgiveness). The aim of this research was to highlight the relationship between mindfulness attitude and previous constructions in a sample of italian teenagers. METHODS: The sample includes 867 subjects, aged between 13 and 20, from the region of Lazio (Rieti and Rome). The participants compiled, under supervision, a battery of tests consisting of self-report questionnaires. To evaluate the psychological dimensions of our interest, we used four measures: CAMS-R, CDI, STAI-Y Trait, STAXI C/A, FSCRS. RESULTS: The study highlighted significantly a positive correlations between high mindfulness disposition and psychological well-being. Specifically, the study showed that adolescents with a high mindfulness disposition are less depressed, less anxious and angry and they have a higher ability to forgive themselves. DISCUSSION: The mindfulness attitude is a tendency that individuals can present to a greater or lesser extent, regardless of the practice of mindfulness. The data obtained from this study support the prospective for further investigations that could lead to improvements in terms of psychological well-being.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.977 | 0.968 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".