Ethnic Chinese Remigration from Southeast Asian Countries since 1960s: A Case Study of Malaysian Chinese Outflows
Bibliographic record
Abstract
Total outflows of Chinese from Southeast Asian countries since the Second World War reached around 3 million. They headed to the developed countries such as the United States, Canada, United Kingdom, Australia, France and Singapore. As for the case of Malaysia, large number of Malaysian Chinese remigrated to Singapore, United Kingdom, United States, Canada and Australia for new residence since the end of the Second World War. They left Malaysia because of political discrimination, economic restrictions, and unequal educational and cultural treatment. According to Malaysia census data and natural population growth rate, this paper made estimation that by 2010 a total of 1.13 million ethnic Chinese had migrated out of Malaysia. After deducting the number of ethnic Chinese moving to Malaysia, the Malaysian Chinese migrating abroad reached 1.05 million. Malaysian Chinese left Malaysia in the manner of permanent residents and short-term migrants. Permanent residents include those in the skill stream, family stream and those with special eligibility. Short-term migrants refer to visiting scholars, foreign students, guest labor, business expatriates and expatriate professionals. As a matter of fact, there has been a serious brain drain through Chinese remigration from Malaysia.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".