After the Culture War? Shifts and Continuities in American Conservatism
Bibliographic record
Abstract
Abstract: Following the 2008 American election, some analysts concluded that the election had signalled an end to the polarization and culture wars that had typified American politics. To some, demographic changes would cause this demise. To others, the moderating of religious groups was crucial. As social conservatives came to grips with the 2008 electoral defeats, some argued for emphasis on culture-war issues to revive their role. Sin No More (John Dombrink and Daniel Hillyard, 2007) had argued that, despite conservative rhetoric, the tide was turning on the core legal and moral issues of the American culture war, moving them toward normalization. It challenged the representation of America as a “centre-right” country. This article analyzes enduring and shifting elements of the American culture war: the broadening of the role of religion, the reduced salience of wedge issues, and the paradox that some forms of polarization are increasing as others are receding.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".