Subjective well-being across partnerships.
Bibliographic record
Abstract
Drawing on data gathered from 554 focal participants in the German Family Panel (pairfam) study surveyed at 4 time points spanning 2 intimate unions, this brief report investigated changes in 3 indicators of subjective well-being (life satisfaction, depressive symptoms, and self-esteem) across partnerships. Latent change score-modeling results showed no mean-level changes in life satisfaction or self-esteem from Time 1 in Partnership 1 to Time 2 of Partnership 2 and a slight increase in depressive symptoms across partnerships. This overall stability in subjective well-being was evident despite a series of changes in the interim period: Subjective well-being worsened as the end of Partnership 1 approached, improved after the initiation of Partnership 2, and leveled off as Partnership 2 progressed. Being female predicted worse initial subjective well-being at the outset of the study, a greater decrease in well-being as participants approached the end of Partnership 1, and an overall reduction in self-esteem and increase in depression symptoms across partnerships. Being older, married in Partnership 1, and having a longer duration first partnership predicted worse initial well-being, a steeper decrease in life satisfaction as Partnership 1 drew to a close, and older participants had lower life satisfaction across unions. These findings add to a growing literature documenting the remarkable stability of individual and relational functioning across time while also highlighting those most at risk of reduced subjective well-being across partnerships. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
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".