Bibliographic record
Abstract
Abstract Roughly put, the axiology of theism asks whether God's existence would be good, bad, or neutral. Thus far the literature has focused on comparing theism as represented by ‘Western monotheism’ to atheism as represented by ‘metaphysical naturalism’. Furthermore, the comparison has focused on comparing the actual world to a nearby epistemically possible world. I begin by surveying the literature comparing the value of such worlds before turning to explore a recent view offered by Klaas J. Kraay which expands the comparison between theism and atheism to include all of modal space (2021). Global, wide modal space pro‐theism is the view that the entirety of modal space containing every possible world is better on theism than on atheism. One reason for holding this view is that God's existence logically entails that there is no gratuitous evil in every single possible world. I object that one potential downside of this view is that theists now have to explain how God's existence is compatible with all of the evil throughout modal space instead of just the evil in our own world. I conclude by pointing to a number of ways the current literature could be expanded, including adding different worldviews to the comparison class.
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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.056 |
| Scholarly communication | 0.012 | 0.026 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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.
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".