Bibliographic record
Abstract
Due to the intensification of global migration movements, the importance of studies in the field of acculturation has been increasing.In order to develop a healthy adaptation process between the migrant community and the host society, it is especially necessary to conduct studies on the acculturation processes of young migrants.Exploring the acculturation orientation of migrant students in Turkey, one of the leading countries experiencing the migration movements intensively, this study collected data from a total of 110 migrant students, 69 females and 41 males."Vancouver Index of Acculturation", "Revised Social Contact Scale", "Multidimensional Scale of Perceived Social Support", "Turkish Proficiency Level Questionnaire" and "Personal Information Form" were employed as data collection tools.Multiple linear regression analysis was used to analyze the data.The analyses results revealed that the level of perceived social support of migrant students from their families and the quality of social contact significantly predicted their heritage culture orientation and explained 18% of them.In addition, the quantity of migrant students' social contact and the quality of social contact significantly predicted their mainstream culture orientation and explained 25% of them.As a result, the present study put forth that in order to support the heritage culture orientation of migrant students, the perceived social support from the family should be improved, and the quantity and quality of social contact should be increased to reinforce their mainstream culture orientation and to facilitate the acculturation processes.
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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 | 0.010 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.489 | 0.312 |
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; the direct Gemma label and the distilled Codex classifier 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".