A Study of three women missionaries of the United Church of Canada, from the Maritime Provinces to Sichuan, China, 1933-1952
Bibliographic record
Abstract
Abstract (Summary) \nFrom 1897 to 1952, there were at least twenty-six women missionaries of the Methodist/United Church of Canada (hereafter, UCC) from the Maritime region sent to work in Sichuan (Szechwan) Province of China, where the West China Mission (hereafter, WCM) was founded in 1891 by the Methodist Church of Canada (hereafter, MCC). The women undertook preaching, teaching and medical duties there. From the Maritime Provinces to Sichuan is not only a lengthy geographic distance; there were also major differences between the two social and cultural situations. Sichuan was traditionally called "Shu". There is a famous verse describing the road to Sichuan: the road to Shu is as hard as the road to heaven. However, like missionaries of the previous generation, A. Jean L. Stewart, Katharine B. Hockin and Grace M. Webster set their feet on the hard road to Shu. Why did these women choose to become missionaries in that very remote corner of the world? What did they do there and what kind of interactions took place during their years of work? \n \nIn order to address the questions mentioned above, the thesis approaches the three women through their life stories. They were members of the second generation of women missionaries who were sent to overseas missions after the UCC was established in 1925.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".