How Marriage Became Optional: Cohabitation, Gender, and the Emerging Functional Norms
Bibliographic record
Abstract
In 1960, two-thirds (68%) of all Americans in their twenties were married. But by 2008, just over one-quarter of twenty-somethings (26%) were wed. According to the Census Bureau’s American Community Survey, married-couple family households constituted only 49.7% of all households in 2009. The Census Bureau reported in 2009 that 96.6 million Americans eighteen and older were unmarried, a group comprising 43% of all U.S. residents eighteen and older. Children’s living arrangements have also undergone substantial change. In the past generation, the percentage of children in the United States who live with two married parents has markedly declined. Although our culture is still ambivalent about families not based on genetic ties, social acceptance of a wider range of family forms has increased. This multiplicity of family structures means that marriage has become an optional arrangement for creating a family. How did this happen? And where is the American family headed, in both cultural and legal terms? This Article sketches out a framework for analysis of this central social question, and argues that family law is moving in the direction of adopting functional norms for determining family composition and adjudicating family disputes.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".