From Personal to Partisan: Abortion, Party, and Religion Among California State Legislators
Bibliographic record
Abstract
The parties’ polarization on abortion is a signal development. Yet while the issue has been much discussed, scholars have said less about how it reveals the unstable relationship between legislators’ personal backgrounds and their issue positions. We argue that the importance of personal characteristics may wane as links between parties and interest groups develop. We focus on the case of abortion in the California State Assembly—one of the first legislative bodies to wrestle with the issue in modern times. Drawing from newly collected evidence on legislator and district religion and Assembly voting, we show that divisions on abortion were chiefly religious in the 1960s—with Catholics in both parties opposing reform—but later became highly partisan. This shift was distinct from overall polarization and was not a result of district-level factors or “sorting” of legislators by religion into parties. Instead, growing ties between new movements and parties—feminists for Democrats and the Christian Right for the Republicans—made party affiliation supplant religion as the leading cue for legislators on abortion, impelling many incumbents to revise their positions. Archival and secondary evidence further show that activists sent new cues to legislators about the importance of their positions on these issues. Showing how personal characteristics became outweighed by partisan considerations contributes to understanding of party position change and polarization, as well as processes of representation and abortion politics.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".