Exploring friendship quality and the practice of savoring in relation to the wellbeing of Greek adults
Bibliographic record
Abstract
Previous research findings demonstrate that both savoring ability and the presence of high-quality friendships play a significant role in enhancing one's overall sense of wellbeing. However, these associations have not been thoroughly investigated within a diverse range of adults across their lifespans, nor have they been explored in the specific cultural context of Greece. Thus, the primary objective of this study was to delve into the relationships between close friendship quality, the utilization of savoring techniques, and wellbeing within the Greek cultural framework. The study involved 771 adults from Greece with an average age of 38.35 years, who completed the McGill Friendship Functions Questionnaire, the PERMA Profiler, and the Abridged Ways of Savoring Checklist. Results revealed that there exists a positive correlation between friendship quality and savoring strategies with overall wellbeing. Moreover, the study identified a significant association wherein a greater employment of savoring strategies was linked to higher levels of friendship quality. While this study contributes valuable insights, it also has limitations that warrant acknowledgment. Furthermore, suggestions for potential future research directions are proposed, and the implications of these findings are discussed in relation to interventions aimed at enhancing both friendships and the practice of savoring across various contexts.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".