Scientic Exploration, 10, 429–430.) Kant on Swedenborg: Dreams of a Spirit-Seer and Other Writings edited
Bibliographic record
Abstract
In his account of his conversations with Goethe, Eckermann records a story he was told by the valet of the great German writer and thinker. According to Christoph Sutor, in 1783 Goethe once rang for him in the middle of the night: ‘‘Listen,’ ’ he said, ‘‘there is an earthquake going on, or there will be.’ ’ The next day, the ladies at the court of Weimar mocked this prediction: ‘‘Höre! Goethe schwärmt!,’ ’ they said, ‘‘Goethe is dreaming.’ ’ A few days later, the news arrived that part of Messina had, on the night of Goethe’s warning, been destroyed by an earthquake (Eckermann, 1998). This story reads like a replay of the famous incident a quarter of a century or so earlier of Swedenborg and the great fire of Stockholm. Then, in 1759, Emanuel Swedenborg experienced a vision of a great conflagration in the capital city while he was staying in Gothenburg; miles away, Stockholm burned. The response of many of Swedenborg’s contemporaries to his experience was identical to that of the court ladies in Weimar to Goethe’s—both sets of ‘‘visions,’ ’ ‘‘intuitions,’ ’ call them what you will, were regarded as examples
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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".