The Debate between Cleanthes and Philo Regarding the First Illustrative Analogy in Part 3 of Hume’s <i>Dialogues Concerning Natural Religion</i>
Bibliographic record
Abstract
In this article, I examine one of the most famous and controversial illustrative analogies in all philosophical literature—the Articulate Voice speaking from the clouds—which is presented by Cleanthes in Part 3 of David Hume’s Dialogues Concerning Natural Religion. Cleanthes holds that this illustration will unprejudice Philo’s mind to the point where the latter will accept the analogical Argument from Design, which Cleanthes presents in Part 2 of the Dialogues. Since Philo offers no direct reply to this illustrative analogy in Part 3, I attempt to locate where, in the Dialogues, he assesses the Articulate Voice illustration. My critical assessment reveals that it is Hume’s/Philo’s considered position in Part 12 that the Articulate Voice fails to strengthen Cleanthes’ position regarding the analogical Design Argument. In Part 3, Cleanthes also makes reference to a natural or irregular argument for inferring an intelligent cause for the Voice heard from the clouds, and for the design of the world. I argue that in Part 12, Philo accepts the natural or irregular argument for the inference to an intelligent cause for the design of the world, but rejects this type of argument in the case of the Articulate Voice heard from the clouds.
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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 | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.053 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".