Ethno Literary Identity and Geographical Displacement: Liu Na'ou's Chinese Modernist Writing in the East Asian Context
Bibliographic record
Abstract
In the course of his short literary life, Liu Na'ou travelled across four geographical areas: Taiwan, Japan, Shanghai and Beijing, as well as five cultural domains: Taiwanese, Japanese, French, English and Chinese. The transnational facet of Liu's modernist writing is not merely literary or cultural but political and historical. The earliest modernist writing in China was initiated on the basis of the colonial experience of Taiwan and the semi-colonial modernity of Shanghai. It became a “contact zone” in which various cultural and political influences to contest with each other, signaling a process of power shifting in East Asia in the early 20th century. This article aims to reflect on theoretical issues ranging from nationalism, cosmopolitanism, colonialism and semi-colonialism, to the colonial modernity of East Asia, drawing upon Liu's modernist writings in 1928.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".