Bibliographic record
Abstract
Kant's correspondence includes a short letter from a well-wisher named Bertram. The content of the letter is as harmless as it is uninteresting: Bertram invites Kant to visit his brother's estate. ‘Do come,’ he says, ‘because the weather is so beautiful and such travel so beneficial’ (10: 182). The interest of the letter is entirely exhausted by the date: 20 May 1775. For Kant used the letter to scribble down ideas, some suggestive of themes later to emerge in the first Critique. Similarity of handwriting and train of thought suggests that these scribbles are part of a whole bundle of papers collectively known as the Duisburg Nachlaβ (R4674-4684 in volume 17 of the Academy Edition). It was supposedly Kant's practice to use letters as scrap paper shortly after receiving them. If this is true, we can date the Bertram scribbles - and, in all likelihood, the bundle as a whole - to some time in 1775. That would make the Duisburg Nachlaβ one of the few pieces of philosophical writing in Kant's own hand to come down to us from the 1770s, and the only extended piece in his hand from the middle of the decade. It offers a rare glimpse of Kant at work on immediate ancestors of central ideas in the first Critique and might therefore be expected to shed light on an important chapter in Kant's philosophical development.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.045 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".