Forbidden Fruits: The Political Economy of Science, Religion, and Growth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We analyze the joint dynamics of religious beliefs, scientific progress and coalitional politics along both religious and economic lines. History offers many examples of the recurring tensions between science and organized religion, but as part of the paper's motivating evidence we also uncover a new fact: in both international and cross-state U.S. data, there is a significant and robust negative relationship between religiosity and patents per capita. The political-economy model we develop has three main features: (i) the recurrent arrival of scientific discoveries that generate productivity gains but sometimes erode religious beliefs; (ii) a government, endogenously in power, that can allow such innovations to spread or instead censor them; (iii) a religious organization or sector that may invest in adapting the doctrine to new knowledge. Three long-term outcomes emerge. First, a "Secularization" or "Western-European" regime with declining religiosity, unimpeded science, a passive Church and high levels of taxes and transfers. Second, a "Theocratic" regime with knowledge stagnation, extreme religiosity with no modernization effort, and high public spending on religious public goods. In-between is a third, "American" regime that generally (not always) combines scientific progress and stable religiosity within a range where religious institutions engage in doctrinal adaptation. It features low overall taxes, together with fiscal advantages or societal laws benefiting religious citizens. Rising income inequality can, however, lead some of the rich to form a successful Religious-Right alliance with the religious poor and start blocking belief-eroding discoveries and ideas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.002 |
| 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 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it