Bibliographic record
Abstract
Abstract: Chinese maritime island science fiction is an essential part of the genre, reflecting China’s historical sea-land worldview, which is deeply rooted in land-based politics and cultural identity. As a subcategory of Chinese science fiction literature, it constructs a knowledge landscape centered on the dynamic interplay between the mainland, the ocean, and the islands. This landscape is fundamentally anchored in a profound homeland consciousness. This homeland consciousness in Chinese maritime island science fiction manifests in three key narrative modes: (1) Political mode. The homeland consciousness serves as the driving force behind the use of advanced technology to safeguard national security and enhance state power. (2) Cultural mode. The homeland consciousness is envisioned as both a cultural homeland and an imagined utopia, explored through the dialectical relationship among the mainland, the ocean, and the islands. (3) Cyclical mode. The homeland consciousness embodies China’s deeply ingrained cosmological belief in the cyclical harmony of heaven and humanity, where the longing for and protection of homeland remains an enduring theme. The homeland consciousness in Chinese maritime island science fiction both engages with and transcends the conventional binary of islands and continents. It integrates oceanic islands into a new dialectical cultural framework, where they are not only the frontier guardians and pioneers of home, but also its philosophical embodiment. This perspective provides a fresh foundation for establishing a new island poetics.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".