Perfectionism and time perspectives: An inquiry into the association between perfectionism subtypes and categorical time perspectives
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
The present study investigated the previously unexplored association between the perfectionistic personality dimensions, as defined by the 2 × 2 model of perfectionism, and individual time perspectives. The study tested the relationship between pure self-oriented, pure socially prescribed, mixed and non-perfectionist subtypes and individual time perspectives, using a sample of 129 undergraduate students with a mean age of 19.84 ( SD = 4.60). Participants completed a one-time evaluation using the short versions of the Hewitt and Flett Multidimensional Perfectionism Scales and of the Zimbardo Time Perspectives Inventory. Following moderated hierarchical multiple regression analysis, the main result was discovering evidence of a close association between present fatalism and perfectionistic subtypes. Furthermore, pure self-oriented perfectionism consistently predicted more adaptive outcomes in terms of time perspectives as compared to non-perfectionism in four out of the five time perspectives, supporting the emerging empirical distinction between adaptive and maladaptive perfectionism. The study’s overall results indicate that pure self-oriented perfectionism may hold more adaptive merit than non-perfectionism in the case of time perspectives and that present fatalism may hold a close association with the perfectionistic variable.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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