Locating Zhuhai between land and sea: a relational production of Zhuhai, China, as an island city
Bibliographic record
Abstract
Despite an abundance of representations that focalize Zhuhai's island and coastal features in both academic and popular discourses, serious engagement with the lived sociogeographic realities of the 'city of a hundred islands' are few and far between.As a critical reaction, this paper seeks a relational production of Zhuhai, China as an island city with specific urban island spatiality.The focus/locus problematic is deployed within the wider context of the relational turn in island studies.First, representations that bring Zhuhai's islandness into focus are categorized and analyzed.It is questioned whether these discourses have constructed for the city an organic collective self that identifies with island and marine values.In an effort to de-focus Zhuhai's island and coastal geographies and re-produce them as locus, a series of place-specific relational issues pertinent to urban island studies are addressed, such as the relationship between island spatiality and city formation, land-sea configurations, and the nature of urban public space between land and sea.It is argued that the island city of Zhuhai's imaginaries and the concretization of its island and coastal possibilities follow a trajectory that is island conscious and mainland unconscious.To propose alternative theoretical models for a more nuanced understanding of the lived realities of the island city of Zhuhai and island cities in general, the paper concludes by re-contextualizing the focus/locus dichotomy within the wider theoretical framework of the relational turn in island studies.
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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 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".