In search of scholarly expertise: transnational connections and women graduates at the University of New Zealand, 1911‐1961
Bibliographic record
Abstract
This article examines the national and international connections made by women graduates of the School of Home Science in their efforts to develop the scholarly expertise and professional capacity that would enable them to pursue academic careers and to improve the position of women in universities. It argues that despite the obstacles, many women were able to pursue academic pathways and to establish their own authority. By undertaking a transnational analysis, this article examines webs of influence that linked women scholars in New Zealand, Australia, Canada and the United States as well as those in the so called “centre” (Europe and the United Kingdom). It explores the networks formed by a select number of middle class women ‐ scholars such as Ann Gilchrist Strong, Elizabeth Gregory and Neige Todhunter ‐ as they attempted to expand the range of their scholarly work beyond national borders. It considers the influence of appointments of women academics from the United States and the United Kingdom on; the significance of post graduate study opportunities for home science graduates; and the role of scholarships and awards that enabled two way travel between the southern and northern hemispheres. A number of tensions are evident in the way women scholars located their work in new and emerging fields of academic knowledge within the university. This article explores interrelationships between women academics and graduates from the School of Home Science at the University of Otago and academic women in the United Kingdom and the United States. The final section of the paper examines the academic and scholarly life of Catherine Landreth who exemplifies the experience of a select group of women who gained personally, culturally and professionally from their international opportunities, experiences and networks. It considers Landreth’s transnational travels in search of scholarly expertise, the influence of her personal and professional networks, the significance of her pioneering work in the emerging field of early childhood education and the constraints experienced in a highly gendered academic enclave. To begin however it gives a brief overview of the introduction of Home Science at the University of New Zealand and the influence of initial international appointments on the expansion of women’s academic work at the University of Otago.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".