Moser's Criticism on Divine Hiddenness Argument نقد موزر بر استدلال خفای الاهی
Bibliographic record
Abstract
Canadian Philosopher, John L. Schellenberg, formally proposed and formulated "Divine Hiddenness Argument" in 1993 for the first time. In this atheistic argument, he states that God does not provide sufficient evidence for His existence at least to some people for some times, thus He is hidden. According to his argument which is based on God’s perfect love, Schellenberg believes that if God perfectly loves people as his creatures, He will provide sufficient evidence for his existence to them and therefore He is not hidden. But God does not provide sufficient evidence to them, therefore He is not perfect lover and disbelieving in His existence is rational and inculpable. Schellenberg believes that "Divine hiddenness Argument" justifies atheism and accordingly refutes the existence of God. Paul K. Moser, contemporary American philosopher, rejects Schellenberg’s view in his new approach to epistemology of religion. Rejecting the evidence for Divine hiddenness, Moser believes that there is sufficient evidence for the existence of God. According to Moser, however, this evidence greatly differs with what the people naturally expect. Based on volitional knowledge, he believes that it is the God, not man, who determines the genuine authority and resource for kinds of evidence and its evaluation. So, Moser does not consider divine hiddenness argument, which is formulated on the basis of human authority, successful in justification of divine hiddenness and in refutation of God’s existence.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 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".