Replication: Self-Compassion and Health-Promoting Lifestyle Behaviours in Albertan University Students During the COVID-19 Pandemic
Bibliographic record
Abstract
Self-compassion as a predictor for health-promoting behaviours has been the subject of several research studies. Self-kindness, common humanity, and mindfulness have been repeatedly positively correlated with health-promoting behaviours in individuals, such as eating well and doing physical activity (Gedik, 2019; Holden et al., 2020). We hypothesized that the positive components of self-compassion (self-kindness, common humanity, and mindfulness) would positively correlate with health-promoting behaviours. In an attempt to replicate Gedik’s (2019) study, researchers recruited 294 Albertan post-secondary students to respond to an online-based questionnaire. Participants filled out both the Self-Compassion Scale (SCS) (Neff, 2003b) and the Health Promoting Lifestyle Profile II (Walker et al., 1995). Findings revealed that, unlike Gedik (2019), isolating behaviours such as feeling cut-off from the world are indicative of improved stress management. Therefore, Gedik’s (2019) results were not replicated. This research’s implications are essential when considering the factorial breakdown of self-compassion and how the factorial relationships to health behaviours are affected by varying populations and contexts. Specifically, the occurrence of the COVID-19 pandemic and its resulting restrictions must be considered when interpreting the results presented in this current study.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".