Perceived Pressure for Perfection Within Friendships Triggers Conflict Behaviors, Depressive Symptoms, and Problematic Drinking: A Longitudinal Actor–Partner Interdependence Model
Bibliographic record
Abstract
Friendships are important for the mental well-being of emerging adults. Socially prescribed perfectionism, where individuals feel pressured to be perfect by others, can be destructive, leading to conflict with others, depressive symptoms, and problematic drinking. However, its impact on friendships is not well-explored. This study examined 174 emerging adult friendship dyads using a 4-wave, 4-month dyadic design. Data were analyzed using longitudinal actor–partner interdependence models. Using a novel friend-specific measure of socially prescribed perfectionism, we found that an individual’s perceived expectation to be perfect from a friend was positively associated with increased conflict between friends, as well as with higher levels of depressive symptoms and problematic drinking in the individual. Findings lend credence to longstanding theoretical accounts and case histories suggesting socially prescribed perfectionism leads to harmful individual and relational outcomes and extends them to the specific context of friendships.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".