Back off: Disapproval of romantic relationships predicts closeness to disapproving network members
Bibliographic record
Abstract
Abstract Is the perception that a social network member (SNM, i.e., friend or family member) disapproves of your romantic relationship associated with perceived changes in emotional closeness to that person? This question was investigated using an online survey ( N = 703). Participants reported their current closeness to a disapproving SNM, and retrospectively rated closeness before the disapproval and at the height of disapproval. As predicted, perceiving disapproval was associated with a drop in recalled emotional closeness to the SNM, with stronger disapproval associated with a steeper drop. Closeness recovered somewhat after the point of strongest disapproval, but not nearly to its original level. Analyses on a smaller sample of matched dyads ( N = 42) suggested this pattern was identical from the SNM's perspective. The recalled trajectory was moderated by SNM group (i.e., family/friend) and by relationship type (mixed‐sex/same‐sex, and age‐discrepant/similar‐age, but not mixed‐race/same‐race). We discuss implications for those in close relationships and their friends/family members.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".