A Visual Theory of Natsume SÅseki: the Emperor and the Modern Meiji Man
Bibliographic record
Abstract
This thesis explores the affect of the emperor-centred visual culture on Sōseki’s use of visual methodologies in his travel writing in London and Manchuria, as well as his novel Sanshirō. In Part I of this thesis, I argue that Sōseki’s anxiety and ambivalence was in part due to the visual culture created around an imperial image infused with symbolic power. Part II of this thesis is almost a reversal of the first, as it discusses Sōseki’s use of deliberately visual methodologies to express his anxiety and ambivalence towards modernity. In light of my discussion of these complex visual techniques, I conclude by briefly addressing the allegations of Sōseki’s complicity in Japanese imperialism and the (non-)politicization of his work. While Sōseki’s anxiety and ambivalence may have been caused by the extremely visual culture centred on the emperor, it also provided him with a means and methodology for expressing his pessimism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.027 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".