Bibliographic record
Abstract
Mary Austin was a mayor’s daughter who expected to live an uneventful life in Canada. But when she said “I do” to Jim Endicott she found that she had “married China.” Thrust into extraordinary circumstances, but undeterred by the political turmoil around her in China, Mary Austin Endicott determined she would achieve the goals she set for herself. She bore and raised four children, ran a one-room school and became the foster mother to three Chinese boys, despite the raised eyebrows of many of her fellow missionaries. The family moved back to Canada, but it wasn’t long before Jim, who was becoming a well-known peace activist, returned to wartorn China. Mary, by then a school trustee, continued her fight for teachers’ rights and focussed her energy on increased activity in left-wing politics, all the while separated from Jim and grieving for a marriage she felt to be in jeopardy. Mary and Jim were finally reunited in 1947 in the police state Shanghai had become. She used all her energy and faith in that time to help Jim regain his equilibrium. For thousands of readers her book Five Stars over China countered the common practice during the Cold War of vilifying the Chinese Revolution. Then her greatest crisis came: Jim was accused of treason. Shirley Jane Endicott has presented us with a fascinating account of her mother’s life, based on Mary Austin Endicott’s private writings and flavoured with Shirley’s memories. She brings to life the story of an exceptional woman whose life was shaped by profound political and historical circumstances.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.549 | 0.307 |
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".