Bibliographic record
Abstract
The third quarter of the twentieth century was an era of growth unmatched since the second half of the nineteenth century. The population almost doubled, economic activity increased more than threefold. There were jobs for all men who wanted them. People lived longer, in greater comfort. They expended less effort to earn a living, had more money for discretionary expenditure, greater choice and increased leisure. Sustained growth brought plenty to Australians and habituated them to further improvement: a belief in the capacity of science to turn scarcity into abundance was matched by the institutional confidence to solve problems and ameliorate social life. The facilities of intellectual life and the possibilities for artistic practice expanded. The country became less isolated from the rest of the world and less beleaguered in its domestic arrangements. Coming after the sacrifice of the preceding decades and the return to uncertainty that followed in the 1970s, it was a golden age. But as the ancients discerned a cyclical pattern of history, which saw the purposeful vigour of an ascendant civilisation soften into indulgence, disunity and eventual collapse, so post-war Australia followed a worrying trajectory. The iron age of austerity occupied the 1940s; the 1950s were the silver years of growing confidence and conformity; by the golden 1960s disunity and decay had set in, and the regime could not withstand the discordant forces it had released.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".