Keep it brief: Can a 4-item stress screener predict university adjustment over 18 months?
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 transition to university is an exciting yet challenging period for many students. While previous research has documented the association between stress and adjustment, little is known about the long-term effect of students’ early stress on their subsequent university adjustment. The present study sought to examine the effectiveness of a short, 4-item stress measure in predicting student adjustment to university following a 6- and 18-month delay. Participants were 122 first-year, undergraduate students (Mage = 18.36, SD = .89; 73.9% women) who reported their stress during their first semester (baseline), and university adjustment six months (T1) and 18 months later (T2). Baseline stress significantly predicted future adjustment to university at both timepoints, explaining 21% (T1) and 14% (T2) of the variance in adjustment. Results reinforce the importance of identifying early signs of stress during the transition to university given its enduring effect on students’ adjustment. Findings are discussed within the context of approaches to student support.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it