The Relational Nature of Attachment and Power: Attachment Avoidance and Withdrawal Limit Partners’ Power
Bibliographic record
Abstract
Power emerges from the relational dynamics between two people, but it is often studied as a feature of the individual. The current studies apply a dyadic perspective to show that core relational beliefs not only shape actors' relationship power but also generate behaviors that constrain their partner's power. Across five studies with Israeli, German, and New Zealand couples (total 1,256 dyads), greater attachment avoidance and anxiety were associated with lower actor power. Revealing novel dyadic effects, greater attachment avoidance was associated with partner's experiencing lower power. Studies 4 and 5 showed that actors higher in avoidance enacted greater withdrawal during conflict and daily life as perceived by partners and observed by independent coders. Actors' withdrawal, in turn, predicted partners experiencing lower power. These findings advance power and relationship theories and research by highlighting how relational characteristics and behaviors (withdrawal) likely shape the experience of both actors' and partners' power in social relationships.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".