Transforming Family Dynamics: A Qualitative Multicase Study of Socioculturally Attuned Family Therapy for Excessive Technology Use in Diverse Family Systems
Bibliographic record
Abstract
This multicase study explores how socioculturally attuned family therapy addresses excessive technology use within diverse families, guided by Knudson-Martin et al. (2019). Three racially and culturally distinct family systems comprised of Euro-American, Indian-American, African-American, and Latinx members, with 13 individuals aged 5 to 52, participated in six 90-minute systemic therapy sessions. Interventions were derived from Bowen Family Systems and feminist family therapy. Data from videorecorded sessions, therapist notes, and journaling were thematically analyzed. Treatment outcomes were evaluated through orders of change (e.g., first-, second-, and third-order) central to systemic therapy. Key themes included empowerment, collaboration, emotional expression, and cultural sensitivity. Second-order changes, reflecting structural shifts in family subsystems, roles, and communication, were most frequent. First-order changes involved surface behavioral adjustments like reduced technology use. Third-order changes, though rare, indicated profound redefinition of cultural values in one family. Despite limitations, including small sample size and lack of long-term follow-up, findings support the effectiveness of socioculturally attuned systemic therapy. Future research should incorporate longitudinal designs with larger samples.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".