Status Exchange in Intermarriage Among Hawaiians, Japanese, Filipinos and Caucasians in Hawaii: 1983-1994
Bibliographic record
Abstract
Intermarriage is one of the most salient demographic features of Hawaii. Between 1983 and 1994, 46% of all marriages contracted in Hawaii were racially exogamous. Over 80% of these intermarriages were formed among four major ethnic groups in the islands: Caucasians, Japanese, Filipinos and Hawaiians. This paper examines socioeconomic status exchange in outgroup marriage. Status homogamy emerges as the most important pattern of mate selection. In a broad sense, people choose their mate on the basis of equal socioeconomic status, either within or across boundaries of race and ethnicity. Gender differences are very small, indicating that status is equally important for both men and women in choosing a marital partner. However, these patterns suggest that groups of very high and very low stat us have a very restricted marriage market. Continued intermarriage also raises questions about how to measure race and ethnicity in the islands.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".