Dyadic Associations of Suicidal Risk Predicting Relationship Satisfaction in a Clinical Sample
Bibliographic record
Abstract
This study investigated the prevalence of suicidal risk and associated trajectories of relational satisfaction in couples presenting for therapy using a national clinical data set, the Marriage and Family Therapy Practice Research Network (MFT-PRN). The sample assessed 296 different-sex couples attending couple therapy at sessions one, four, and eight. Nearly a quarter of couples indicated suicidal risk at session one. Dyadic latent growth models revealed that higher suicidal risk had a small but significant association with lower initial relationship satisfaction for men; thus, while the suicidal risk is associated with men's lower relationship satisfaction at intake, it may not continue to have impacts later in treatment. Alternative analyses of 27 same-sex couples revealed a quarter of couples with suicidal risk at session one and that suicidal risk was not associated with relationship satisfaction. Although suicide risk was not associated with changes in relational satisfaction over time, suicidal risk should be assessed for couples presenting to therapy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".