Relational geography of a border island: local development and compensatory destruction on Lieyu, Taiwan
Bibliographic record
Abstract
The paper considers Lieyu island from a relational geography perspective, relative to the islands of Kinmen, Xiamen, and Taiwan. Lieyu retains its natural landscape and military heritage in part due to its remote location and military restrictions relative to nearby Kinmen Island. Local politicians harness Lieyu's archipelagic relationality and sense of underdevelopment relative to other islands in its archipelago to gain financial subsidies for infrastructure development. Such infrastructure projects (including fixed links) endanger Lieyu's sense of islandness and island place. We introduce the term 'compensatory destruction', which involves destroying existing place-based values or attributes in the process of implementing new values in the name of development. Although compensatory destruction is not necessarily bad, care must be taken to ensure that development projects serve the needs of the community as a whole and are adequately assessed and evaluated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".