Bibliographic record
Abstract
The release of Alison Marshall's new book, Cultivating Connections: The Making of Chinese Prairie Canada, coincides with a rising level of interest among many Canadians of Chinese origin in discovering their family stories.It is a valuable resource for someone like me, a descendant of an immigrant, for it describes the various ways the early pioneers from China came together, in the face of many obstacles, to offer support, provide company, and build community in villages and towns across Western Canada.My maternal grandparents, Yee Clun and Eng Shee Yee, arrived separately in Canada during the early part of the last century.Our search for even the most basic details of their experiences in this country began over ten years ago.As if we were on a good scavenger hunt -we moved about from family gatherings to small conversation, library to archive, special collection to family photograph, city directory to old newspaper, the story of their lives has slowly begun to emerge.Grandfather Yee Clun arrived from the village in China in 1902 as a labourer and paid one hundred dollars to enter Canada.Following several years of travelling around rural Saskatchewan, he settled in Regina and eventually earned merchant status, enabling him to bring Grandmother into this country in late 1919, exempt from the head tax.He partnered with others to operate cafes, restaurants, and merchandise stores around the city, and together with Grandmother raised a family and established roots within this new land.They returned to China in 1932, reunited in Regina in 1941, and relocated to Vancouver in 1947 to spend their retirement years.During the past few years, my mother Katie, Aunt Mamie, and late uncle Danny reminisced about their parents and recounted their own experiences of growing up in Regina during the late 1920s and into the 1940s.We were fortunate to hear of Alison's research on Chinese Canadian history in 2011, to meet with her that summer, and to be given the opportunity to contribute material toward the preparation of this book.Working together has been a rewarding experience, as a good portion of my mother's family's life was
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.626 | 0.424 |
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".