What are they doing? A national survey of help‐seeking and relationship‐repair behavior of individuals who are thinking about divorce
Bibliographic record
Abstract
Guided by the Stages of Change (SOC) model, we explored relationship-repair behaviors among those thinking about divorce, employing a recent national longitudinal survey of married individuals (N = 745). Person-centered analyses explored whether there were distinct typologies of relationship-repair behaviors. We found four distinct classes: Intense Seekers (6%), who engaged at high levels of all kinds of repair behaviors, including professional services; Moderate-fading Seekers (14%), who engaged in moderate levels of various repair behaviors, including professional services, but did not sustain that behavior over a year; and Minimal-private Seekers (42%) and Private-sustained Seekers (38%), who eschewed professional services and engaged in low-to-moderate personal and private repair behaviors. We discuss possible applications of the SOC model to the divorce decision-making process and conclude with implications for practice, including the need to allocate greater attention to personal and self-help interventions that match the way most people try to repair their relationships.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".