Shifts in Past Self Perceptions to Preserve Well-Being After a Romantic Breakup
Bibliographic record
Abstract
I examined negative shifts in past self perceptions after a romantic breakup (i.e., toward thinking one's pre-breakup self was not as happy and not as positive of a version of themself as they thought at the time) as a means of preserving post-breakup well-being.I recruited 184 people who were in romantic relationships to complete satisfaction and self-related measures twice, four months apart (retrospectively at Time 2).Those who experienced a breakup between ratings indicated larger negative shifts in past self perceptions than those whose relationships remained intact and larger shifts were associated with greater post-breakup well-being.Secondary analyses suggested that these shifts may improve well-being in part by helping one disentangle their expartner from their self-concept.The results were inconclusive (due to methodological limitations) regarding whether they also do so by ameliorating emotional distress.Implications, limitations, and suggestions for future research are discussed. Shifts in past self perceptions after breakupPaynter, A. A.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".