Nonverts: The Making of Ex-Christian America
Bibliographic record
Abstract
The United States is in the midst of a religious revolution. Or, perhaps it is better to say a non-religious revolution. Around a quarter of US adults now say they have no religion. The great majority of these religious "nones" also say that they used to belong to a religion but no longer do. These are the nonverts: think "converts," but from having religion to having none. There are currently has about 59 million of them in the United States. \n \nNonverts explores who they are, and why they joined the rising tide of the ex-religious. One of world's leading experts on contemporary atheism and nonreligiosity, sociologist and theologian Stephen Bullivant draws on dozens of interviews, original analysis of high-quality survey data, and a wealth of cutting-edge studies, to present an entertaining and insightful exploration of America's ex-religious landscape. Bullivant criss-crosses the country, talking to everyone from ex-Mormons in Utah to ex-Catholics in Pennsylvania, from ex-Evangelicals in Georgia to ex-Muslims in California, showing not only what they have in common but also how the traditions they left behind continue to shape them. \n \nWhile American religion is not going to die out any time soon, ex-Christian America is a growing presence in national life. America's religious revolution is not just a religious revolution — it is catalyzing a profound social, cultural, moral, and political impact. Nonverts will serve as an indispensable guide to this shifting landscape, as well as the future of American life.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.016 | 0.017 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".