eConnect: implementation and preliminary evaluation of a virtually delivered attachment-based parenting intervention during COVID-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Connect, an attachment-based and trauma-informed parenting group intervention, has been demonstrated to improve adolescent mental health, parental wellbeing, and family functioning. We report on the online adaptation and delivery of Connect (eConnect) and pre-post treatment changes in parent, family and youth functioning in a clinical sample (N= 190) of parents of youth with serious mental health challenges. Consistent with research evaluating in-person Connect, parents reported significant reductions in youth internalizing and externalizing problems, attachment anxiety and avoidance, and aggression toward parents. Parents also reported significant reductions in caregiver strain and aggression toward their child. Unlike prior research, parent depressed mood did not decline, perhaps due to pandemic stressors. Program completion was remarkably high (84.7%), and parents reported high program satisfaction. Uptake by eConnect program facilitators and host agencies was extremely positive, suggesting good potential for sustainability and broadened program accessibility. Randomized clinical trials and implementation within diverse populations are needed.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 it