The Relationship Between University Education and Pro-Immigrant Attitudes Varies by Generation: Insights From Japan
Bibliographic record
Abstract
Abstract While there is lively debate on whether higher education cultivates support for immigrants in North America and Western Europe, there is little discussion on the extent to which the relationship generalizes beyond these continents. In light of Japan’s growing reliance on foreign workers, increase in university enrollment rates, as well as efforts to internationalize universities over the last half-century, we explore the relationship between university education and Japanese attitudes toward immigrants. Using two surveys asking an overlapping set of questions in 2009 and 2022, we find the relationship between university education and pro-immigrant attitudes varies by generation. Otherwise positive connections are significantly weakened for Japanese who entered universities in the 1990s through 2000s. Even though Japan is a modern democracy with well-developed higher education institutions, these institutions do not always correlate with more supportive attitudes toward immigrants. Our findings underscore the dynamic nature of higher education’s role in shaping public opinion outside of North America and Western Europe.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".