A Developmental Sequence Model To University Adjustment Of International Undergraduate Students
Bibliographic record
Abstract
The current study proposes a Developmental Sequence Model to University<br> Adjustment and uses a multifaceted measure, including academic, social<br> and psychological adjustment, to examine factors predictive of<br> undergraduate international student adjustment. A hierarchic regression<br> model is carried out on the Student Adaptation to College Questionnaire to<br> examine theoretically pertinent predictors arranged in a developmental<br> sequence in determining adjustment outcomes. This model accounted for<br> over 60% of the variance in adjustment scores, and highlighted the<br> importance of ecological factors in relation to student adjustment, such as<br> social support, relationship with parents, and perceived institutional<br> support as more useful than static measures of achievement such as high<br> school GPA. Implications of these findings, including the important role of<br> campus services, are discussed.
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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 | 0.000 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".