237 Islands of memory, islands of trauma: The case of Dongzhou, Hengyang, China
Bibliographic record
Abstract
This paper examines the complex interaction between island histories and island geographies by presenting a case study of Dongzhou Island, Hengyang, China, contextualized through several critical island events. Employing a wide range of methods including archival research, textual and media analysis, field and map observations, semi-structured interviews, and informal interaction, the research is broadly framed in the problematic of geographical memory consisting of hard island memory, soft island memory, and lived island memory. Particular attention is paid to the construction of Dongzhou Island’s cultural trauma based on three difficult island histories: mass killing, radical planning, and uneven development. Findings indicate that these memories coexist on or about the island, in virtual isolation from each other. It is argued that while hard memory constructs the island as a petrified landmark, soft memories murmur about the forgotten or obscured pains of a small island that bears witness to the violence of war and progress. The theoretical and practical implications regarding the role of place memory in rejuvenating local cultures are also proposed.
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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 | 0.003 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| 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".