Bibliographic record
Abstract
In the early decades of the twentieth century, a nation’s participation in global communities of science denoted high degrees of cultural modernity. For Australia, the accomplishments of Douglas Mawson signified that national assertion. Unlike the arts, where lines of descent and influence remained important, scientists before 1914 frequently saw themselves without borders; this claim offered vast encouragement to newer societies, who found their champion in Ernest Rutherford, born in New Zealand and awarded the Nobel in 1908 for work in Canada. Australia – the new Federation and the progressive states – heartily grasped the opportunity, and Mawson personified that demonstration, particularly in Antarctica: in calling him ‘an Australian Nansen,’ Edgeworth David drew a sharp distinction between Mawson and his British compeers, Scott and Shackleton. Both Mawson and Nansen were field scientists of utmost rigor, who directed their celebrity toward public activism on behalf of a new nation (Australia, 1901; Norway, 1905). That newness, moreover, produced a modernity that Gyan Prakash calls ‘an uncanny double, not a copy, of the European original’ ( Another Reason 5); thus, while Mawson represented modern science in Australia, he also worked, consciously and originally, to reconfigure the global playing field of modernity altogether.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".