Breaking up is Hard to do, Especially for Strongly “Preoccupied” Lovers
Bibliographic record
Abstract
Is a relationship breakup harder on certain people? To address this question, the present study investigated the relationship of individuals’ attachment styles to various reported aspects of a relationship's dissolution: initiation of the breakup, emotional reactions to the breakup, reasons for the breakup, and experiences and perceptions following the breakup. One hundred nineteen undergraduates completed an extensive questionnaire concerning a past romantic relationship that had broken up. Feeney, Noller, and Hanrahan's (1994) Attachment Style Questionnaire (ASQ) provided continous measures for five attachment styles or “attitudes”: confidence, discomfort with closeness, need for approval, preoccupation with relationships, and relationships as secondary. Principal-components analyses served to derive criterion indexes from the breakup questionnarie measures, which were individually regressed on the five ASQ scales. As predicted form attachment theory, respondents scoring high on preoccupation with relationships (reflcting anxious/ambivalent attachment) showed distinctive responses to the relationship breakup, in contrast to those scoring high on other attachment styles. Specifically, those strongly preoccupied with relationships reported (a) that their partner was unhappy in the relationship and had initiated the breakup, (b) having experienced difficulty adjusting to the breakup and felling it had been a mistake, and (c) more negative emotion and less positive emotion following the breakup. Implications of these findings are discussed
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".