Reflections on Three Decades of Research on Multidimensional Perfectionism: An Introduction to the Special Issue on Further Advances in the Assessment of Perfectionism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article, we introduce this second special issue on the assessment of perfectionism along with an overview of developments in the perfectionism field over the past 30 years following the shift to studying perfectionism as a multidimensional construct. We examine some key contributions over the past decade, including the proliferation of meta-analyses and apparent rise over time in the prevalence of self-oriented, other-oriented, and socially prescribed perfectionism. We also outline what we consider to be seven definitive truths about the perfectionism construct and how these themes are reflected in the articles that follow. This special issue includes papers that describe abbreviated measures of existing perfectionism scales as well as new measures. Other papers in this special issue demonstrate the need to supplement a trait approach with a focus on cognitive perfectionism and to evaluate key mediators of the association between perfectionism and depression. Other research illustrates the usefulness of supplementing the predominant variable-focused approach with a person-centered approach. Collectively, the papers address several significant issues and outline key directions for future research in the next decade of research on multidimensional perfectionism.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it