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Record W7039697741

Moser's Criticism on Divine Hiddenness Argument نقد موزر بر استدلال خفای الاهی

2015· article· en· W7039697741 on OpenAlexaboutno aff

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicTheology and Philosophy of Evil
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)CriticismExistence of GodAtheismTheism
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.005

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.

Opus teacher head0.078
GPT teacher head0.260
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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