Woomera’s women : rolls and roles of film : camera operators on the Anglo-Australian rocket range 1947-1970.
Bibliographic record
Abstract
With the aftermath of World War II and the onset of the Cold War, Australia hosted with the UK one of the few global centres dedicated to the research, development and testing of rockets, jets and other long-range weapons, including Britain’s atomic warheads. By the mid 1950s a new purpose-built town had been constructed in the Australian desert, named “Woomera”, with a population of 7,000 at its peak. No expense was spared in establishing the testing grounds, laboratories and infrastructure – which included a security cleared film laboratory and production facilities at Salisbury near Adelaide – to support the Anglo-Australian Joint Project’s research and experimentation. \n \nThis dissertation examines pioneering work undertaken by women at Woomera and Salisbury within the context of Australia’s broader social history. Women’s roles at Woomera were initially expected to be traditional – supportive wives and mothers. My research features the women who undertook new roles operating the sophisticated kinetheodolites and Vinten cameras that filmed and tracked the rocket firings, and the women referred to as “computers” who assisted in the pre- and post-production process, including data evaluation. Previous studies of Woomera (e.g., Morton, 1989, Southall 1962) exclude any detailed mention of this industrial phenomenon – women as camera operators and data analysts/computers. My dissertation addresses this significant gap in the literature as the first systematic oral history of these secret Cold War undertakings. \n \nThe gendered aspects, political economy and unique cohort of this research radically challenges the normative assumptions concerning Australian women and workplaces during what is commonly perceived of as a conservative era. Recent scholarship (e.g., Shetterly 2016) in the United States and the United Kingdom has highlighted work of female mathematicians during World War II and the space race. Given the age of these trailblazing women, it is timely that due attention be given to Australia’s “hidden figures”.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".