Differentiating the quality of friendships among students from other regions and local students based on multicultural personality
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
Indonesia is a country rich in diverse cultures, ethnicities, races, and religions. Migration for educational purposes is a common phenomenon, with many young people pursuing higher education in different regions. This quantitative study investigates differences in the quality of friendships between migrant and non-migrant university students, examined through the lens of multicultural personality. Participants were 184 active students at the University of Surabaya, aged 18–25, selected through purposive sampling. Data were collected using the Multicultural Personality Questionnaire–Short Form (MPQ-SF), the McGill Friendship Questionnaire–Friend’s Functions (MFQ-FF), and several open-ended questions developed by the researchers. Data analysis used ANCOVA and independent t-tests via SPSS. The results showed that multicultural personality significantly influenced friendship quality, but there were no significant differences in either friendship quality or multicultural personality between migrant and non-migrant students. Open-ended responses revealed that students choose friends based on shared tasks, hobbies, and personal traits rather than migration status. These findings suggest the need to consider other influencing factors and expand future research to diverse university settings to better understand student friendship dynamics.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it