Socioeconomic Impacts of Myanmar’s Malay Muslim Immigrant in Malaysia
Bibliographic record
Abstract
The study examines the socioeconomic impact of Myanmar’s Malay Muslim immigrant (MMMI) in Langkawi on the issues of socioeconomic and environmental perspectives. The study investigates the extent of impact due to the presence of immigrants in wage competitiveness in the local jobs, distraction of small sea fishing activities and the impact of the environment of the immigrant’s dwelling area. The study establishes indicator on the national’s economic vision towards innovation and automation of the construction and plantation industry advances. The aim of the research is to study what is the perception of the community towards the existence of the MMMI. The study uses multiple regression analysis to support the proposed hypothesis. The findings ascertained to some extent regarding issues in wage competitiveness. The immigrants were found to contribute to environmental nuisance to the surrounding area. Consequently, the analysis justified respondents had showed agreement on the issue that the immigrants are threatening local community’s well beings.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".