The Limits of Experience and Explanation: F. A. Lange and Ernst Mach on Things in Themselves
Bibliographic record
Abstract
In the middle of the nineteenth century, advances in experimental psychology and the physiology of the sense organs inspired so-called ‘Back to Kant’ Neo-Kantians to articulate robustly psychologistic visions of Kantian epistemology. But their accounts of the thing in itself were fraught with deep tension: they wanted to conceive of things in themselves as the causes of our sensations, while their own accounts of causal inference ruled that claim out. This paper diagnoses the source of that problem in views of one Neo-Kantan, F. A. Lange, and argues that it is solved only by Ernst Mach. No less than Lange and other Neo-Kantians, Mach was inspired to develop a psychologistic account of the foundations of knowledge, but his account also includes a coherent denial of things in themselves’ existence. Finally, this paper uses this account of Lange and Mach on things in themselves to illuminate Mach's relation to a certain strain of the Neo-Kantian philosophy of his own time: his views constitute a more fully coherent version of the psychologistic theory of knowledge Back to Kant figures tried to articulate.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.038 |
| Scholarly communication | 0.007 | 0.015 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".