Short-term dynamics of pride and state self-esteem change during the university-to-work transition
Bibliographic record
Abstract
Young adults differ in their self-esteem change during the university-to-work transition. The short-term processes (such as state changes) which are related to individual variability in change are not yet fully understood. In this pre-registered study, we examined experiences of pride as an emotional process underlying state self-esteem change in a sample of 232 Dutch master students over 8 months across their university-to-work transition. We used dynamic and multilevel structural equation models to analyze three waves of 14-day experience sampling data, examining momentary and daily associations between pride and state self-esteem on the within-person level. We examined correlated change in pride and state self-esteem, and the extent to which pride predicted variability in state self-esteem change. Results indicated positive within-person associations and considerable individual differences in pride–state self-esteem associations across moments and days. Across months, changes in pride and state self-esteem were positively correlated, but pride before graduation did not predict variability in later state self-esteem change. Pride–state self-esteem associations remained robust after accounting for feelings of joy, transitional valence, and timing of the transition. Findings indicated that pride uniquely predicted state self-esteem change during the education-to-work transition, which suggests that pride is a key emotion underlying self-esteem change.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".