Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".