The CASA Trauma and Attachment Group (TAG) Program for Children who have Attachment Issues Following Early Developmental Trauma.
Bibliographic record
Abstract
OBJECTIVE: There is relatively little research about effective therapeutic approaches for children in middle childhood who have attachment related diagnoses as a result of experiencing significant, early developmental trauma. This study describes findings from an intensive, dyad-based intervention, aimed at stabilizing attachment relationships with primary caregivers, increasing caregiver reflective function skills, and reducing children's trauma-related behavioural sequelae. METHOD: We analyzed retrospective data from 51 caregiver/child dyads who participated in the Trauma and Attachment Group (TAG) Program from September 2011-December 2014. This data included pre- and post-intervention scores retrieved from the Parenting Relationship Questionnaire (PRQ), the Parent Report of Post-Traumatic Stress Symptoms (PROPS), and the Parental Reflective Functioning Questionnaire (PRFQ-1). RESULTS: The preliminary findings show statistically significant improvements in attachment, communication, discipline practices, involvement, and relational frustration. Additionally there were statistically significant improvements in parental reflective functioning, and a trend towards a reduction in symptoms typical of post-traumatic stress disorder. CONCLUSION: Poor quality or inconsistent interactions with early caregivers can lead to life-long impairments in physical and mental health. This intensive program shows potential as a way to improve longer-term outcomes for children exposed to early developmental trauma. Longer-term research is required to further substantiate outcomes, appraise cost analysis, as well as to consider evaluation with appropriate comparison groups.
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 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 | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".