Bibliographic record
Abstract
Spanning more than six decades, Passage to Promise Land is a revealing study of Chinese immigration to Canada from the end of the Second World War to the present day. Tracing the evolution of immigration policy through the stories of Chinese immigrant women, Vivienne Poy captures the social, political, and ethnic tensions of the period. Although the narratives included here represent women of all ages and educational backgrounds, they share a common sense of determination and spirited resilience in the face of hardship. Through their stories we learn about Chinese settlement experience, how the Chinese community developed alongside changes in immigration regulations, and why the immigration of Chinese families to Canada became commonplace in the 1970s. The women address experiences of patriarchy and discrimination in both China and Canada, revive memories of the turbulent years in China at the end of the Pacific War, and speak of their uncertainties about the return of Hong Kong's sovereignty from the United Kingdom to China in 1997. From the very first mention of Chinese women's immigration in Canada's Parliament in 1879, to the end of the twentieth century - when a Chinese woman was appointed Governor General - the road to equality has been long and arduous. Passage to Promise Land details the important events along the way through the voices of the women themselves.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.054 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".