Dynamic changes in perfectionism dimensions and psychological distress among adolescents assessed before and during the COVID-19 pandemic
Bibliographic record
Abstract
Abstract This prospective longitudinal study evaluated changes in psychological distress among adolescents, pre-pandemic to intra-pandemic, the extent to which within-person and between-person differences in trait multidimensional perfectionism were associated with such changes, and the role of stress in explaining associations between perfectionism and psychological distress. Adolescents (N = 187; 80% female; 78% White, 7% Asian Canadian, 2% Indigenous Peoples in Canada, 2% Black or African Canadian, 2% Latin Canadian, or 9% Other; Mage = 17.96 years) completed online surveys assessing perfectionism (i.e., self-oriented perfectionism and socially prescribed perfectionism), depression, anxiety, and stress pre-pandemic (i.e., March 12, 2020 or earlier) and during Ontario, Canada's first (i.e., March 13, 2020 to July 24, 2020) and second (December 26, 2020 to February 7, 2021) government-mandated lockdowns. Between-person differences and within-person changes in multidimensional trait perfectionism were associated with increases in psychological distress and perceived stress. Perceived stress served as an intermediary pathway linking multidimensional trait perfectionism to psychological distress during the pandemic.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".