Marginalisation of the Dan Fishing Community and Relocation of Sanya Fishing Port, Hainan Island, China
Bibliographic record
Abstract
When marginal groups face social transformation, they risk being unable to adapt and acquire equal developmental opportunities, slipping into ‘further marginalisation’. This paper explores the case of the Dan fishing community of Sanya City, Hainan, China. Efforts to transform Sanya City into an international island tourism destination involve plans to relocate Sanya fishing port and to clear the adjacent neighbourhood inhabited by the Dan people, traditionally a boat-dwelling people, who have long been marginalised relative to China’s land-oriented society. As their natural and social resources dwindle, the Dan of Sanya City must cope with the loss of their homes and livelihoods, as they are forced into the city’s suburbs and as the port relocation complicates the economics and practicalities of making a living from the fishing industry. This paper argues for greater attention to be given to local needs in the formulation of urban development strategies in island cities.
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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 | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".