Spatial evolution path of Gulangyu Island historical international community: from the perspective of actor-network theory
Bibliographic record
Abstract
Abstract Gulangyu Island is a special case of social development and changes since modern China. In the past, Chinese and foreign people lived together and Chinese and Western cultures coexisted, resulting in an international community with outstanding cultural diversity and modern quality of life. As a functional carrier, space is of great reference significance to the research on the spatial evolution path of the Gulangyu international community with the accelerating globalization and rapid expansion of urbanization. Based on the interpretation of historical maps and the integration of historical geographic information, this paper explores the evolution path of Gulangyu community space in modern times from the perspective of actor-network theory. It is found that: (1) The change of key actors promotes the spatial evolution of the Gulangyu international community. (2) In the stage of foreign culture dissemination (1840–1902), foreign nationals, as key actors, promoted the formation and development of actor-networks through administrative recruitment and other means, and promoted Gulangyu Island to change from a traditional Minnan community to a modern community form, with the embryonic form of an international community beginning to emerge. (3) In the stage of multicultural integration (1903–1940), overseas Chinese returning home became key actors. The concept of a combination of Western cultures was not only embodied in community management but also acted on space practice to promote the multicultural integration of the Gulangyu international community. This paper summarizes the effects of various factors on the evolution of community space, to provide a reference for other coastal cities to rationally develop islands and promote the multicultural integration of local communities.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".