Enhancing the Relationship Adjustment of <scp>S</scp>outh <scp>A</scp>sian <scp>C</scp>anadian Couples Using a Systemic‐Constructivist Approach to Couple Therapy
Bibliographic record
Abstract
The effectiveness of systemic-constructivist couple therapy (SCCT) in improving the relationship adjustment of South Asian Canadian couples in ways that attend to their culture was evaluated. The SCCT interventions engage partners in reflexive processing of both their own and their partner's ways of construing, and the reciprocity between these two. A core change mechanism of SCCT, couple identity ("we-ness"), that connotes the ability for thinking and experiencing relationally, was coded from verbatim transcripts of partners' within-session dialogue. As predicted, South Asian partners' relationship adjustment improved significantly from the first to final session of SCCT, and concurrent increases in each partner's couple identity mediated such improvements. The implications for considering culture and couple identity in couple therapy are discussed. Video Abstract is found in the online version of the article.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".