Context matters: Need frustration predicts self-critical perfectionism within domains and over time
Bibliographic record
Abstract
Research suggests that perfectionism can vary across contexts, but what explains this variation? Across two studies (total N=783), we examined whether frustration or satisfaction of a person’s basic psychological needs (for autonomy, competence, and relatedness) predicts perfectionism within domains (Study 1) and over time (Study 2). Consistent with our hypothesis, people tended to be more self-critical in domains where their needs were frustrated. Further, being in a context where needs are frustrated tended to exacerbate self-critical perfectionism over time. Exploratory analyses provided mixed evidence for the association between need satisfaction and personal standards. Notably, however, being in a context where needs are satisfied decreased self-critical perfectionistic tendencies over time. By better understanding when people are likely to exhibit maladaptive perfectionistic tendencies that undermine mental health and well-being, researchers can develop targeted interventions focusing on creating need supportive environments and/or helping people adaptively cope in situations where their needs are frustrated.
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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 | 0.009 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".