Bibliographic record
Abstract
Dorise Nielsen was a pioneering feminist, a radical politician, the first Communist elected to Canadais House of Commons, and the only woman elected in 1940. But despite her remarkable career, until now little has been known about her.From her youth in London during World War I to her burial in 1980 in a herois cemetery in China, Nielsen lived through tumultuous times. Struggling through the Great Depression as a homesteaderis wife in rural Saskatchewan, Nielsen rebelled against the poverty and injustice that surrounded her, and found like-minded activists in the CCF and the Communist Party of Canada. In 1940 when leaders of the Communist Party were either interned or underground, Nielsen became their voice in Parliament. But her activism came at a high price. As a single mother in Ottawa, she sacrificed a close relationship with her family for her career. As a woman in an emerging political organisation, her authority was increasingly usurped by younger male party members. As a committed communist, she moved to Mao's China in 1957 and dedicated her lifeis work to a cause that went seriously awry.Faith Johnston illuminates the life of a woman who paved the way for a generation of women in politics, who tried to be both a good mother and a good revolutionary, and who refused to give up on either.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.037 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".