White and Latino Remarriage Differences in the United States: A case for Moving Beyond the Catholic Assumption
Bibliographic record
Abstract
In the United States, Latinos and non-Hispanic Whites have similar first marriage and divorce rates, but Latinos remarry at lower rates than Whites. Although Latinos are disproportionately more Catholic than Whites, and Latinos remarry less than Whites, assuming that religion is driving the remarriage difference could be a religious congruence fallacy, which occurs when religion is assumed to be the driving influence behind a behavior actually shaped by other forces. The present study utilizes the National Longitudinal Survey of Youth 1979 and discrete-time event history analysis to examine the influence of religious affliation and attendance on ethnic remarriage differences. The findings suggest that Catholicism does not account for the lower rates of remarriage of Latinos compared to Whites and provide strong evidence for dispelling the previously untested on ethnic differences in remarriage. Additionally, Evangelical Protestants, Particularly men, appear the most likely to remarry.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".