not-yet-known not-yet-known not-yet-known unknown THE IMPACT OF TRAINING SESSIONS ON MINDFULNESS ON ONE’S ANXIETY AND SEARCH FOR MEANING IN LIFE: A PILOT STUDY
Bibliographic record
Abstract
Aim This pilot study aimed to explore if attending a training course on mindfulness impacted one's anxiety and search for meaning in life. Methods The study took place during the COVID-19 pandemic between September 2022 and December 2022. A convenient sample of six faculty members from a university in Canada who were experiencing anxiety and searching for meaning in life participated in the study. Participants were asked to fill in an electronic survey before and after taking an eight-week course on mindfulness. The mindfulness course was facilitated by an instructor who was certified and experienced in mindfulness. It was delivered online. Results Findings from this pilot study revealed that whilst the anxieties about the COVID pandemic had subsided at the time of the study, the pandemic did cause participants to ask questions about the meaning of life. Participants found the training course on mindfulness beneficial to resolve mental health issues and anxieties. It helped them develop a sense of meta-awareness, and an opportunity to refocus on what is important in life. Conclusion The findings of this study are limited to a pilot study and a larger scale study is needed to find out if mindfulness-based techniques have an impact on one's anxieties relating to existential issues and the search for meaning in life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".