Social Interactions among Multi-Ethnic Students
Bibliographic record
Abstract
<p>Positive social interaction is a vital aspect of maintaining a harmonious condition, especially in Malaysia, a country which has a multiracial society. Therefore, this study was carried out to identify the patterns of social interactions among multiethnic students in national secondary schools in Malaysia. The respondents for this study comprise two school administrators, seven teachers and 20 students of various ethnicities. They were selected through purposive sampling. Data were collected through interview sessions either individually or in focus groups, observation and document analysis. The study’s findings showed that, there are five patterns of social interaction such as cooperation, exchange, competition, conflict and non-verbal communication among multiethnic students. Although there was conflict, the underlying causes of the conflict were not due to racial issues. As well as the five patterns of social interactions stated above, stereotypes were also reported among students. Despite conflicts and stereotypes, the students actively attempted to learn about other cultures and demonstrated attitudes of acceptance towards friends from other ethnic backgrounds. This indicates that the social interaction among students is still favorable and can be further improved through appropriate response. Additionally, based on these findings, a few recommendations were made regarding this issue.</p>
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".