Bibliographic record
Abstract
Consider this claim: (1) If God exists, no gratuitous evil occurs. This claim enjoys widespread assent in contemporary analytic philosophy of religion. It could be harnessed into an argument for pro-theism: it certainly looks like a reason for thinking that God’s existence would make the world better than it would otherwise be, at least if there is an appropriate causal connection between the antecedent and the consequent. But (1) is also the first premise of a widely discussed argument for atheism that continues as follows: (2) Gratuitous evil occurs. Therefore, (3) God does not exist. In recent decades, much of the debate about this argument (and probabilistic variants of it) has concerned the claim expressed in premise (2). Critics of this claim have defended accounts of our epistemic circumstances and capacities according to which this premise cannot reasonably be asserted. This controversial position has become known as skeptical theism, and it has generated a large and very technical literature. A few authors, however, have attempted to resist (1). One such strategy is developed in a series of important publications by William Hasker (1992, 2004b, 2008). If Hasker’s argument were to succeed, this would be an important result for the overall debate about whether God exists, since it would count against a prominent kind of argument for atheism. While Hasker does not explicitly consider the question of the axiological consequences of God’s existence, his argument, if sound, would also be an important result for this debate, since it would count against one line of apparent support for pro-theism. In section 2, I discuss certain restrictions on God’s permission of evil in order to illuminate claim (1), and in section 3, I set out Hasker’s case against it. In section 4, I clarify an important point about Hasker’s argument: I show that it does not require Hasker to maintain that God’s plan for creation requires the actual occurrence of gratuitous evil. In section 5, I set out and evaluate four criticisms of Hasker’s argument. Finally, in an Appendix, I consider the merits of a successor argument for atheism – one that is compatible with Hasker’s view.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".