VIETNAMESE IN THE UNITED STATES 1. Generations, Immigration and Length of US Residency
Bibliographic record
Abstract
The fall of South Vietnam in 1975 has forever changed the lives of many Vietnamese people and re-sulted in the massive resettlement of hundreds of thousands of families in the United States and world-wide. After almost a quarter of a century of establishment, the Vietnamese community has tremen-dously transformed and adapted to American culture much faster than what people have previously thought of. Unlike other Asian communities whose members immigrated to the United States through employment or family connection, the sudden emergence of the Vietnamese community was perceived as a political downfall of American power, thus resentment towards the Vietnamese was particularly high at times. Many Vietnamese people who first came to the United States in 1975 were mostly from a more affluent or educated social ladder; nevertheless, their struggle to survive in a completely new environment was noted as difficult and painful. In the late 1970s and 1980s, many people risked their lives to flee the country by boats; thus the name “boat people ” was derived from their experience. A majority of people from this second group came from the countryside or fishing villages and perhaps was less formally educated, yet their resettlement was considered easier than that of the first group. They received guid-ance and learned from experience of relatives or friends who had come before them. The third and most
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".