Self‐compassion for youth in small city centres: A school‐based pilot project
Bibliographic record
Abstract
Abstract The purpose of this pilot study was to explore the benefits of a self‐compassion intervention that was delivered in school to grade nine youth during their transition to high school in a small city centre in Ontario, Canada. All participants were assigned female at birth. Self‐compassion (SC) was identified as an important intervention for this population based on a community‐based participatory research (CBPR) process that included youth living with mental health challenges, mental health practitioners, gatekeepers and academics. The CBPR process helped with problem identification and the modification of a self‐compassion intervention for use in school for youth. The modified SC programme was delivered in two physical education classes, using a 2 × 2 crossover design (i.e. intervention or school as usual). Self‐report measures focused on increasing mental health (e.g. well‐being, values, self‐compassion) and decreasing mental illness (e.g. depression, anxiety) were collected at baseline and pre–post intervention. Data analysed via ANCOVAs and non‐parametric tests indicate no statistically significant results. At baseline, most students had relatively average scores for mental health and mental illness; therefore, floor and ceiling effects may have impacted measurable change. In this relatively healthy group, the benefits of the SC programme may be the capacity to continue to accept and support oneself in facing challenges, as is the overall goal of self‐compassion. Future research may focus on using self‐compassion interventions with youth in clinical settings or a longitudinal analysis with a comparison group.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".