Adjusting to college—Do ability beliefs and confidence in getting support matter for performance and mental health?
Bibliographic record
Abstract
Abstract Entering college, students are required to adjust to a new academic and social environment. During the COVID-19 pandemic, social interactions with peers and faculty were limited to online settings and access to campus resources was restricted. Hence, students who entered college in fall 2020 began their freshman year under particularly challenging circumstances. We used data from two freshman cohorts, who started college either before or during the pandemic. We investigated to what extent mid-quarter academic and social adjustment (i.e., ability beliefs and confidence in getting support) predicted end-of-quarter performance, psychological distress, and satisfaction of freshman students. Results showed that students who started college during the pandemic were less confident they could get support by peers in the middle of their first quarter. Furthermore, students from the second cohort reported higher psychological distress and lower satisfaction with their adjustment at the end of their first quarter. Results showed that ability beliefs played an important role for end-of-quarter performance, whereas confidence in getting support was more relevant for psychological well-being outcomes in both cohorts.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".