INTERCULTURAL FRIENDSHIP AS STRATEGY TO REDUCE ANXIETY AND UNCERTAINTY OF ZIMBABWE STUDENTS IN MUHAMMADIYAH SURAKARTA UNIVERSITY
Bibliographic record
Abstract
Friendship is a relationship between voluntarily wounded individuals. Friendships have a responsibility to be emotionally supportive, actively provide assistance, maintain confidence, and support each other. Benefit in friendship usually include skills in activity, emotional support and help. Intercultural friendship is a more specific and more complex phenomenon that has its own characteristics in terms of relationships. The meeting between two different cultures in building a relationship of intercultural friendship. Establish intercultural friendship relationships with local people by immigrants as a form of adaptation to the new environment. Immigrants are individuals who move from one region to another in a country influenced by push factors and pull factors such as economic, environmental, and educational factors. Immigrants can experience several conditions when they are in a new environment such as feelings of anxiety and uncertainty to interact with the surrounding environment. This study aims to find out how the relationship of intercultural friendship can reduce the level of anxiety and uncertainty of Zimbabwean students at the Muhammadiyah Surakarta University. The research method used qualitative method by using population from foreign students at Muhammadiyah Surakarta University and purposive sampling technique that is sampling based on student's country of origin Zimbabwe. Data collection by interview and documentation, for analysis using qualitative content analysis. Credibility and validity use inter-code reliability and triangulation of data sources and theories.Keywords : Adaptation, Migration , Anxiety, Uncertainty, Intercultural, Friendship.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".