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Record W4205750444 · doi:10.1017/9781108867375

Taking God Seriously

2021· book· en· W4205750444 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

VenueCambridge University Press eBooks · 2021
Typebook
Languageen
FieldArts and Humanities
TopicTheology and Philosophy of Evil
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAtheismFaithChristianityPhilosophyCompromiseMoralityPrejudice (legal term)Belief in GodEpistemologyProblem of evilReligious beliefTheismChristian faithReligious studiesTheologySociologyPsychologySocial psychologySocial science

Abstract

fetched live from OpenAlex

Is debate on issues related to faith and reason still possible when dialogue between believers and non-believers has collapsed? Taking God Seriously not only proves that it is possible, but also demonstrates that such dialogue produces fruitful results. Here, Brian Davies, a Dominican priest and leading scholar of Thomas Aquinas, and Michael Ruse, a philosopher of science and well-known non-believer, offer an extended discussion on the nature and plausibility of belief in God and Christianity. They explore key topics in the study of religion, notably the nature of faith, the place of reason in discussions about religion, proofs for the existence of God, the problem of evil, and the problem of multiple competing religious systems, as well as the core concepts of Christian belief including the Trinity and the justification of morality. Written in a jargon-free manner, avoiding the extremes of evangelical literalism and New Atheism prejudice, Taking God Seriously does not compromise integrity or shy from discussing important or difficult issues.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.195
Teacher spread0.157 · 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