Bibliographic record
Abstract
Abstract The primary goal of this paper is not to argue for the “influence” of Cassirer, but rather to make known the reception of Cassirer in Japanese philosophy, illustrate the interconnection between Cassirer’s critique of culture and that of Japanese philosophy, and hopefully spark interest in what might be a fruitful dialog between Cassirer scholars and those working in Japanese philosophy. Historically, the paper defines Japanese philosophy and makes known its engagement with Western philosophy and the Marburg school of neo-Kantianism and its project of a critique of culture during its own self-development. Systematically, the paper points to the possible interconnection between Cassirer’s critique of culture and that of Japanese philosophy and makes the case for a mutually productive dialog between Cassirer scholars and those working in Japanese philosophy. Implicitly, the paper attempted to show that an engagement with Japanese philosophy from the perspective of a critique of culture forces us to question the Western dichotomy between philosophy and religion and the importance of this for the further development of a non-Eurocentric critique of culture. And by extension, that a critique of culture must be cognitive of the historicity of the culture from which it speaks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".