Forbidden Fruits: The Political Economy of Science, Religion, and Growth
Bibliographic record
Abstract
Abstract We study the co-evolution of religion, science, and politics. We first uncover, in international and U.S. data, a robust negative relationship between religiosity and patents per capita. The model then combines: (1) scientific discoveries that raise productivity but sometimes erode religious beliefs; (2) a government that allows innovations to diffuse, or blocks them; (3) religious institutions that can invest in doctrinal reform. Three long-term outcomes emerge. The “Western-European Secularization” regime has declining religiosity, unimpeded science, and high taxes and transfers. The “Theocratic” regime involves knowledge stagnation, unquestioned dogma, and high religious-public-goods spending. The “American” regime combines scientific progress and stable religiosity through doctrinal adaptations, with low taxes and some fiscal-legal advantages for religious activities. Rising income inequality can, however, empower a Religious-Right alliance that starts blocking belief-eroding ideas.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".