Bibliographic record
Abstract
Ann Moyal is a distinguished Australian historian, whose works on the history of Australian science have included important studies such as Scientists in Nineteenth-Century Australia: A Documentary History (Stanmore, NSW: Cassell, 1976), Clear across Australia: A History of Telecommunications (Melbourne: Nelson, 1984), and Platypus: The Extraordinary Story of How a Curious Creature Baffled the World (Baltimore: Johns Hopkins UP, 2004). She has published two autobiographical volumes, both of which deal in part with her association with Max Aitken, Lord Beaverbrook, as a writer and research assistant during the 1950s, as well as articles in the Journal of the Royal Australian Historical Society (1965) and History Today (2011) that also recall those years. Dr. Moyal, who has held positions at the New South Wales Institute of Technology and Griffith University, as well as with the Australian Dictionary of Biography at the Australian National University, later became the founding president of the Independent Scholars Association of Australia. The conversation that follows is an edited version of an interview conducted by Skype on 28 September 2015 (in Canberra, 29 September). It focuses primarily on her visit to Fredericton and the Miramichi with Beaverbrook in October 1955, and on other aspects of Beaverbrook’s links with New Brunswick and New Brunswickers. Digital files of the original recording may be consulted either at the Saint Mary’s University Archives or the University of New Brunswick Archives and Special Collections. The interviewer and editor is John Reid (Saint Mary’s University).
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 | 0.008 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.013 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.021 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".