Neutralizing Secularism: Religious Antiliberalism and the Twentieth-Century Global Ecumenical Project
Bibliographic record
Abstract
Abstract A marked feature of the contemporary U.S. constitutional landscape is the campaign by an Evangelical-Catholic coalition against the idea of secularism, understood by this alliance to mean the exclusion of religion from the state and its progressive marginalization from social life. Departing from the tendency to treat this project as a national phenomenon, this article places it within a longer global genealogy of an earlier international Christian ecumenical effort to combat secularism. The triumph of that campaign culminated in the making of Article 18 of the Universal Declaration of Human Rights, now considered the paradigmatic international legal provision on religious liberty. Article 18’s protection of the rights to proselytize and convert, I argue, was a product of an impassioned contestation between an ecumenical movement keen on securing the prerogative to spread the gospel to the non-Christian world and a secularism in a strange alliance with Islam in the region that held the greatest promise for the evangelical enterprise—Muslim Africa. In excavating the genealogy of ecumenical thought as it developed a critique of the so-called secularist threat, I recover the delicate links between the contemporary U.S. anti-secular campaign and the earlier ecumenical efforts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".