Grades of university and college students decrease during the transition from high school to tertiary education: a latent change analysis of the 2 × 2 model of perfectionism
Bibliographic record
Abstract
Academic performance tends to deteriorate during the transition from high school to post-secondary education. In this study, our goal was to investigate whether the degree of this performance deterioration differs across the four subtypes of perfectionism from the 2 × 2 model of perfectionism. Samples of 392 university students and 946 college students completed a perfectionism questionnaire. Their high school and first semester grades were obtained through the office of the registrar. Results of latent change analyses revealed that the grades of students decreased during the transition to university (–12%) and college (–4%). The four subtypes of perfectionism were associated with a different degree of performance deterioration and supported the four hypotheses of the 2 × 2 model of perfectionism. Both university and college students with pure socially prescribed perfectionism experienced the strongest decrease in academic performance and should be closely monitored during their transition into post-secondary education.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".