Ferry services and the community development of peripheral island areas in Hong Kong: Evidence from Cheung Chau
Bibliographic record
Abstract
The history of Hong Kong ferry services began with the establishment of the colony of the British Empire after the Treaty of Nanking. The ferry system was the foundation of public transport in Hong Kong. This study adopts the concept of centre-periphery theory to explain how ferry services facilitate regional integration in Hong Kong, notably on Outlying Islands, and describe how better transportation influenced the course of development of the communities of the peripheral islands. Through an intensive documentary investigation and in-depth interviews with the islanders, this study undertakes a historical approach to study the evolution of the Hong Kong ferry services throughout the last two centuries, and to see the prospects of its development, particularly the services for the Outlying Islands, in the postcolonial Special Administrative Region. Our main concerns include the significance of ferry services in maintenance, and the economic development and social welfare in the Outlying Islands. The slow decline of Hong Kong ferry services since the 1970s notwithstanding, the study addressed how and why ferry services in Hong Kong are still important to keep the city intact, while giving the islanders some new choices of self-identity and of staying in their peripheral home.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".