Ethical Responsiveness as a Mediator Between Enduring Vulnerabilities and Relationship Quality
Bibliographic record
Abstract
The strong relationality model of relationship flourishing emphasizes the role of ethical responsiveness (how well a person intrinsically responds to the manifest or identifiable needs of others) as a direct predictor of relationship quality and as an indirect pathway for explaining the influence of vulnerabilities. This study is among the first explicit tests of the theorized role of ethical responsiveness. The sample consisted of 1432 adults in a romantic relationship, from the United States and Canada. Modeled as latent variables, ethical responsiveness served as a path between the variables of depression, anxiety, and friend and family support, and the dependent variable of relationship-focused relationship quality. Depression and friend support predicted ethical responsiveness. Ethical responsiveness, both supports, and depression predicted relationship quality. Friend support and depression had an indirect effect through ethical responsiveness. Our findings support the role of ethical responsiveness and suggest continued research into how and why it influences relationships.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".