An initial evaluation of a mindful parenting program
Bibliographic record
Abstract
A growing number of children are experiencing marital transition. The effects of divorce on children have typically been considered deleterious, although factors can buffer the difficulty of postdivorce adjustment. One of these factors is a positive relationship with a parental figure. Unfortunately, divorce often overwhelms parents with a series of changes that compromise their parenting skills. One new approach to improving parenting after divorce is mindful parenting, which aims to enhance interpersonal and emotional connection in the parent-child relationship. This program is intended to facilitate parents' self-awareness, their mindfulness, and their intentionality in responding to their child's needs. The present study reports on the implementation of the Mindful Parenting Program, delivered in two groups to 12 recently divorced parents with preschool-aged children. Program effectiveness was conducted on two levels. First, mindfulness measured by the Toronto Mindfulness Scale revealed significant increases over the intervention and posttest period. Second, in-home behavioral observations conducted pre- and postintervention revealed no changes in parent-child relationships. These findings are discussed within the larger context of facilitating effective parenting postdivorce.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".