Bibliographic record
Abstract
I n t roduc t Ion r ef l ec t Ions on t h I rt y y e a r s of Wom en 's h Istory I did not grow up wanting to be a historian. As a well-socialized child of the 1950s, my early fantasies centred more on the frilliest wedding dress possible. Luckily for me, I abandoned the 'say yes to the dress' dream for a life in history. After an undergraduate career in which I managed to avoid Canadian history almost completely and focused instead on African subjects, I worked, travelled to Africa, and came back thinking about the radical possibilities of history on the home front. From the time I returned to school, first part-time at Glendon College, then to do graduate work at McMaster University, I had a dual devotion to labour and women's history, though there were inevitably tensions and challenges in that pairing. Yet as I was a relatively new feminist at that time, women's history often felt like 'home,' and I have never lost the sense of discovery, excitement, involvement, and pleasure that reading women's history entails. Trying to pass a fraction of that excitement along to students has taken up almost thirty years of my life, and I have thoroughly enjoyed the 'wow' factor in students' responses to previously unimagined views of the past, whether it was Sylvia Van Kirk's wonderful reinterpretation of women in the fur trade, Constance Backhouse's disturbing account of the Ku Klux Klan and intermarriage, or Rusty Bitterman's tale of Isabella MacDonald, a stick-wielding rural woman defending her family and property against Prince Edward Island landlords. 1 This collection grew out of a desire to reflect critically on the evolution of women's history over the past thirty-some years. My original intent was to pen a historiographic text, but other research passions always intervened. Another feminist historian suggested using my own writing as a basis around which to discuss women's history in Canada, and Athabasca This "moment of discovery" was very much a project of the women's movement, for feminists recognized that women needed an understanding of the past in order to reshape our present and imagine a better future. Popular women's publications were hungry for any tidbit of women's history. In Kinesis, a feminist newspaper produced in Vancouver, for example, a feature article on women's history in 1976 insisted that revising our understanding of history was essential to the feminist project. History books reflected the ideas of those in power, thus "excluding women, the non-white and the poor." A history of "working women, Native peoples, and the poor," the author argued, would reveal a completely different story, including their struggles for "equality and justice." This popular article relied on the limited research to date, including material on the vote, social reform, and British Columbia women elected to office from
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.040 | 0.019 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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".