Trajectories of Child and Caregiver Positive Coping Following a Brief Emotion‐Focused Family Therapy (EFFT) Intervention
Bibliographic record
Abstract
Families play an influential role in promoting positive coping (PC) among youth, which has led to the development of family-based interventions, such as emotion-focused family therapy (EFFT). The present study examined trajectories of PC over 1 year following a 2-day virtual caregiver group EFFT intervention. Participants included 155 caregivers who attended the EFFT intervention. Caregivers completed measures on themselves and up to four children at six time points from pre-intervention to 12-month follow-up. Higher-order growth curve analysis modelled trajectories of PC for individuals nested within families. Participants exhibited an increase in PC over 12 months. Caregivers had higher initial PC levels than children and improved at a slower rate. Finally, participants in families with higher social support and lower family dysfunction had higher baseline PC. These variables did not predict change. Findings reveal that aspects of the family environment are related to PC, highlighting the importance of family-based interventions.
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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 | 0.001 | 0.003 |
| 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) | 0.001 | 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".