The Fourth World Congress of Taiwan Studies: ‘Taiwan in the Making’, University of Washington, Seattle, 27–29 June 2022
Bibliographic record
Abstract
Abstract This report highlights and offers reflections on three unique features of the fourth World Congress of Taiwan Studies ( wcts 4) held in Seattle in June 2022. First, following the covid -19 pandemic, wcts 4 was one of the first large-scale conferences in the field of Taiwan studies to be held in hybrid mode. Second, although three previous editions have taken place since 2012, wcts 4 was the first to be held in the United States. Third, it is the first Congress to launch a major new publication, the forthcoming Encyclopedia of Taiwan Studies . Most media coverage of wcts 4 has emphasised only that it was held in the United States. This report goes further, focusing on why it was held in the US, and why Seattle in particular, and on the Congress’s importance more generally to the global field of Taiwan studies.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".