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Record W1978723053 · doi:10.1093/jaarel/lfs018

Response to Kelly James Clark and Justin T. Winslett, "The Evolutionary Psychology of Chinese Religion: Pre-Qin High Gods as Punishers and Rewarders" 79/4: 928-960

2012· article· en· W1978723053 on OpenAlexaboutno aff
Jordan Paper

Bibliographic record

VenueJournal of the American Academy of Religion · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEvolutionary Game Theory and Cooperation
Canadian institutionsnot available
Fundersnot available
KeywordsEvolutionary theoryEvolutionary psychologySociologyClassicsReligious studiesPhilosophyEnvironmental ethicsHistoryEpistemology

Abstract

fetched live from OpenAlex

Journal Article Response to Kelly James Clark and Justin T. Winslett, “The Evolutionary Psychology of Chinese Religion: Pre-Qin High Gods as Punishers and Rewarders” 79/4: 928–960 Get access Jordan Paper Jordan Paper * *Jordan Paper, Professor Emeritus, York University, Toronto, Canada. Fellow, Centre for Studies in Religion and Society, University of Victoria, British Columbia, Canada. E-mail: jpaper@uvic.ca. Search for other works by this author on: Oxford Academic Google Scholar Journal of the American Academy of Religion, Volume 80, Issue 2, June 2012, Pages 518–521, https://doi.org/10.1093/jaarel/lfs018 Published: 11 May 2012

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 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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.337
Teacher spread0.328 · 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 teacher head, 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

Citations3
Published2012
Admission routes1
Has abstractyes

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