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Record W1992701093 · doi:10.1163/15685276-12341240

Religious Studies as a Life Science

2012· article· en· W1992701093 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNumen · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEvolutionary Game Theory and Cooperation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScholarshipExpansiveHistory of religionsSociologyEpistemologyExpansionismDimension (graph theory)DualismSocial scienceReligious studiesLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Abstract Religious studies assumes that religions are naturally occurring phenomena, yet what has scholarship uncovered about this fascinating dimension of the human condition? The manifold reports that classical scholars of religion have gathered extend knowledge, but such knowledge differs from that of scientific scholarship. Classical religious studies scholarship is expansive, but it is not cumulative and progressive. Bucking the expansionist trend, however, there are a small but growing number of researchers who approach religion using the methods and models of the life sciences. We use the biologist’s distinction between “proximate” and “ultimate” explanations to review a sample of such research. While initial results in the biology of religion are promising, current limitations suggest the need for greater collaboration with classically trained scholars of religion. It might appear that scientists of religion and scholars of religion are strange bedfellows; however, progress in the scholarly study of religions rests on the extent to which members of each camp find a common intellectual fate.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.047
GPT teacher head0.401
Teacher spread0.354 · 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