Bibliographic record
Abstract
Along with the problem of evil, the problem of divine hiddenness has become one of the most prominent arguments for atheism in the contemporary philosophy of religion. Roughly it is this: if there is a loving God, surely he would make his existence apparent to us, and in a way that we could not rationally doubt. Why? (i) Because it is of the nature of love that the lover will seek open relationship with the object of love, and (ii) because on most traditional theisms it is claimed that our ultimate well-being requires having a positive relationship with God, which relationship presupposes belief in God's reality. Yet as a matter of fact many people fail to believe in God, and that through no fault of their own. Such nonbelief is incompatible with the truth of theism. Therefore God does not exist. Here I explore how the writings of C. S. Lewis (probably the twentieth century's most popular Anglican author) can be brought to bear on the problem.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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 teacher head, 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".