Bibliographic record
Abstract
HERDER's ORIGINALLY UNPUBLISHED Essay on Being (1763) was only made widely available in the twentieth century. It was the young Herder's first philosophical treatise, composed while he was attending the University of Königsberg (1762–64) and attending Kant's lectures on logic, mathematics, physical geography, moral philosophy, physics, and, most important here, metaphysics. Indeed, the Essay on Being engages with Kant's ideas on the proof of the existence of God as presented both in his metaphysics lectures, as evidenced by Herder's copious lecture notes, and in his 1762 treatise, Der einzig mögliche Beweisgrund ( AA 2:63–163). In the Essay on Being Herder steers a clear path with respect to what he collectively treats as logical arguments for the necessity of Being, or Sein , that he finds in Baumgarten, Wolff, and Kant, and presents an original conception not of the logical necessity, but rather of the sensory certainty, of Being. In the process Herder works out some core epistemological, and metaphysical, ideas that lay the groundwork for the philosophical anthropology that will orient his life's work. It is for this reason, and not simply because it is his very first philosophical treatise, that this work occupies such an important place in Herder's oeuvre. Although the writings that make up that oeuvre will range widely, far beyond “school philosophy” ( Schulphilosophie ) into studies of language, literature, culture, history, the conception of human nature that underlies them all was first worked out in the language of the particular philosophical tradition that he studied under Kant. More specifically, as I show in this chapter, the approach to epistemology that Herder develops both here, in his critique of Kant (my particular focus here), Wolff, and Baumgarten, and in several subsequent pieces from the 1760s, has its origin in ideas he learned from Kant himself. Herder's central thesis in his Essay on Being is that the concept of Being is not susceptible of objective, logical proof and is, rather, known only with a subjective, sensory certainty. The passion with which Herder expresses and defends this thesis reflects what appear to be deepseated convictions about human nature and human knowledge, yet the philosophical ideas that he employs in its defense are in fact not entirely original to him.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".