Exploring the Feasibility and Acceptability of an Online Arts-Based Mindfulness Program for Adolescent Mothers
Bibliographic record
Abstract
Adolescent mothers experience high levels of psychological distress due to social disadvantage, adversities, and limited supports. These issues were exasperated by the requirement of pandemic stay-at-home orders and the closing of in-person programs and services. Given the risks associated with adolescent mothering and the impact on their children’s developmental functioning, it is imperative that intervention programs are implemented to support these young mothers. There is a dearth of research that explores the feasibility of using online programming with adolescent mothers. This article describes our experiences delivering an arts-based mindfulness program online to adolescent mothers during the COVID-19 pandemic. Several challenges were encountered with respect to engagement and facilitation including high attrition rates and numerous disruptions during programming. Although the participants were motivated and interested in the program, they experienced numerous barriers to attendance and participation. Challenges with respect to technology, parenting, and family life significantly impacted the feasibility of online delivery. Future studies could attempt to address the social inequalities experienced by adolescent mothers to improve engagement and the effectiveness of online programs.
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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 | 0.007 | 0.016 |
| 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) | 0.003 | 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".