Self-Compassion: Evaluation of a Psychoeducational Website
Bibliographic record
Abstract
BACKGROUND: Low levels of self-compassion are associated with a number of mental health problems. Recent findings suggest that self-compassion can be significantly increased through traditional therapist led interventions such as Mindful Self-Compassion (MSC). AIMS: The goal of this study was to assess the impact of a psychoeducational website modeled on MSC on measured levels of self-compassion and two related constructs: shame and rumination. METHOD: Participants (N = 9) were recruited from a pool of university students and employees. Single case AB protocols were used. RESULTS: Analyses using the Critical Difference statistic revealed significant improvement in self-compassion and shame for the majority of participants, but limited changes in rumination. CONCLUSIONS: These preliminary findings suggest that self-compassion may be enhanced through the use of a psychoeducational website. It may be worthwhile to develop a structured internet-based treatment course for individuals who would not otherwise access traditional psychological services.
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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 | 0.000 | 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) | 0.038 | 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".