Evolution in literature: Natsume SÅseki's theory and practice
Bibliographic record
Abstract
In Bungakuron (Principles of Literature), Natsume Sōseki applies concepts of evolution to dynamics in literature, consciousness, and society. Although he posits that transformations occur in literature and literary movements in a largely contingent and non-teleological manner, he also suggests that development and progress occur in these domains in the direction of ever-increasing differentiation and complexity. In response to the alienating effects of such differentiation and individualization over the course of modernization, he explores the potential for other relations to arise. Such potentiality is largely conceived in terms of affective processes, including forms of "pure experience." This thesis explores Sōseki's theory and works of literature including Wagahai wa neko de aru (I am a Cat), Koto no sorane (Hearing Things), Shumi no iden (The Heredity of Taste), and Kusamakura (Grass Pillow), considering ethical questions raised in the context of themes of war, trauma, and the relation between subjects and the nation-state.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".