Bibliographic record
Abstract
Explore the overlooked life of Tiun Chhang-miâ, the Taiwanese woman behind the nineteenth century's most accomplished missionary, George Leslie Mackay. Tiun Chhang-miâ (1860?-1925), a Fujian-Taiwanese girl also known as Minnie Mackay, was a key figure in nineteenth century Canadian-Taiwanese relations and the first local woman to marry a Christian missionary, George Leslie Mackay. This biography tracks Tiun’s history from being a child bride to a heroine devoted to education for women and the Taiwanese Presbyterian Church. Mark Dodge delves into how Taiwanese lives were torn between harsh predicaments, and the example Tiun set as an imagined ideal of new womanhood in contested colonial space. The complex legacy left by Tiun continues, for better or worse, to be felt, in Taiwan and elsewhere, while that island nation fights for its own identity and existential rights during the twenty-first century. A tale of resilience, this book is suitable reading for students of Taiwan, Asian Studies, Taiwanese history, the history of Christianity and missions, Asian women's history, Gender Studies, Religious Studies, and Colonial Studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".