Lessons Learned from Swinburne: A Critique of Richard Swinburne's <i>Revelation: From Metaphor to Analogy</i>
Bibliographic record
Abstract
Abstract: At the outset of his book Revelation: From Metaphor to Analogy (1992), Richard Swinburne differentiates between “sentences” and “statements,” a distinction that disengages his quest for rational revelation from biblical studies and the latter's historical treatment of biblical texts. Not only does this strategy reinstate the obsolete traditional form/content binarism, and presumes a correspondence account of truth, it also ignores the specific socio-cultural contexts and strategic aims behind all biblical texts. Swinburne's assertion that any God, being “God,” would reveal “himself” through prophets, perform miracles, and become incarnate as an atoning saviour, arises out of the culturally specific, Western, Christian tradition. His understanding of biblical miracles as violations of the laws of nature is based on a seventeenth-century understanding of miracles, as propounded by the British empiricist John Locke. His “four tests of [true] revelation” simultaneously grant preferential treatment to the Christian revelation, while facilitating the dismissal of [what he terms] “non-Christian” religions. His newly added section (2007) entitled “Moral Teaching” demonstrates how Swinburne's “revelation” (as a discursive practice) participates in non-discursive apparatuses of power and domination over women and lgbtq communities. Thus, in the end, this neo-conservative philosophical discourse on “revelation” employs the illusion of truth to extend itself as power over those who have been customarily marginalized by traditional forms of Christianity.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.015 | 0.067 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.014 | 0.024 |
| 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".