Tanya Fitzgerald and Elizabeth M. Smyth, eds., Women Educators, Leaders and Activists: Educational Lives and Networks 1900–1960
Bibliographic record
Abstract
What happens when scholars, connected transnationally through networks of historical research on female educators, meet at a conference in the Antipodes?In an act of replication across time, they decide to draw on their own professional networks to plan and produce a book that turns our attention to the intellectual and personal networks of women who worked in education during the first half of the twentieth century.In Women Educators, Leaders and Activists: Educational Lives and Networks 1900 -1960, readers will find seven chapters, plus a useful introduction by the editors and a thoughtful conclusion by Deirdre Raftery, that contribute to an understanding of how women in the past understood, navigated, and shaped their worlds -worlds that were created by British imperialism, colonization, capitalism, religion, and patriarchy.Contributors to this volume provide insights into the efforts of women in six countries, England, Ireland, Canada, the United States, Australia, and New Zealand, and demonstrate how ideas and individuals flowed among these national states.For example, in a nuanced reading of her evidence, Tanya Fitzgerald traces the work of two English women, Winifred Boys-Smith and Helen Rawson, and the American, Ann Gilchrist, in establishing a foothold for women at the University of New Zealand through the Department (later Faculty) of Home Science, and professionalizing that field of study.At first blush, this created an apparently separate ghetto for women, but Fitzgerald argues that the female professors, working strategically within a gendered setting, used the site to establish home science as an academic and scientific field while offering young women courses in chemistry, biology, and nutrition and preparing them for graduate work in the sciences as well as for careers in public health, dietetics, social welfare, institutional management, and the like.Indeed, graduates
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".