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Record W2735107223

PeopleAS Opium? Religion and Economic Attitudes

2002· article· en· W2735107223 on OpenAlexaff
Luigi Guiso, Paola Sapienza, Luigi Zingales

Bibliographic record

VenueSSRN Electronic Journal · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsGovernment (linguistics)OpiumPer capitaPer capita incomeEconomicsDemographic economicsPolitical scienceDevelopment economicsSociologyDemographyLaw
DOInot available

Abstract

fetched live from OpenAlex

Since Max Weber, there has been an active debate on the impact of religion on people's economic attitudes. Much of the existing evidence, however, is based on cross-country studies in which this impact is confounded by differences in other institutional factors. We use the World Values Surveys to identify the relationship between intensity of religious beliefs and economic attitudes, controlling for country fixed effects. We study several economic attitudes toward cooperation, the government, working women, legal rules, thriftiness, and the market economy. We also distinguish across religious denominations, differentiating on whether a religion is dominant in a country. We find that on average, religious beliefs are associated with good' economic attitudes, where good' is defined as conducive to higher per capita income and growth. Yet religious people tend to be more racist and less favorable with respect to working women. These effects differ across religious denominations. Overall, we find that Christian religions are more positively associated with attitudes conducive to economic growth.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.015
GPT teacher head0.261
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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