Bibliographic record
Abstract
Books reviewed: Margaret Chambers (comp)Finding Families. The Guide to the National Archives of Australia for Genealogists E.M. Johnston‐Liik, George Liik and R.G. WardA Measure of Greatness: The Origins of the Australian Iron and Steel Industry Helen Irving (ed)The Centenary Companion to Australian Federation Janice Caulfield and John Wanna (eds)Power and Politics in the City: Brisbane in Transition K.D. Calthorpe and K. CapellBrisbane on Fire: A History of Firefighting 1860–1925 Ian TyrrellTrue Gardens of the Gods: Californian‐Australian Environmental Reform, 1860–1930 Sue GoughA Long Way to Tipperary Sue GoughHere Comes the Night Eric RollsCitizens: Flowers and the Wide Sea Father Frank BrennanThe Wik Debate: Its Impact on Aborigines, Pastoralists and Miners Moira Gatens and Alison Mackinnon (eds)Gender and Institutions: Welfare, Work and Citizenship Philip Bell and Roger Bell (eds)Americanization and Australia David WetherellCharles Abel and the Kwato Mission of Papua New Guinea, 1891–1975 August K. KituaiMy gun, my brother, the world of the Papua New Guinea colonial police 1920–1960 Howard B. Clarke, Máire Ní Mhaonaigh and Raghnall Ó FloinnIreland and Scandinavia in Early Viking Age Martin KitchinThe British Empire and Commonwealth: A Short History Mike CroninThe Blueshirts and Irish Politics Jonathan SperberThe Kaiser's Voters: Electors and Elections in Imperial Germany Roger ChickeringImperial Germany and the Great War, 1914–1918 David E. SmithThe Republican Option in Canada, Past and Present Ian CoplandThe Princes of India in the Endgame of Empire, 1917–1947
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.589 | 0.605 |
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".