“Our Gratitude to Our Soldiers”: Military Spouses, Family Re-Unification, and Postwar Immigration Reform
Bibliographic record
Abstract
The perceived need to re-unite military families after World War II, initially addressed by ad-hoc war-brides legislation, played a key role in the reformulation of U.S. immigration policy. The large number of military spouses, especially from Asia, pushed policymakers to revise their notions of racial admissibility, thus helping to establish family re-unification as the driving force behind immigration reform. Though unnoticed at the time, the combination of wartime service, patriotism, and marriage formed an inadvertent road map for the family-centric, and ultimately racially neutral, admissions policies that would dominate U.S. immigration law after 1965. The importance of Asian war brides in shaping the contours of U.S. policy stands in even stronger relief when compared to the relative unimportance of the issue in Canada, another major participant in World War II, which also pursued immigration reform during the 1960s.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".