Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research by an organic chemist at the University of Melbourne and support from Australia's Council for Scientific and Industrial Research provided the basis for a wartime industry when Australia was unable to maintain access to traditional supplies of cod liver oil from Britain and Norway in the 1940s. Two major pharmaceutical companies gathered oil from the livers of sharks in southern Australia that was rich in vitamin A, and so met domestic and military needs for this nutritional supplement. Other companies joined in and by the end of the war Australia had a flourishing industry that derived synergy from the marketing of shark flesh for human consumption. South Africa was a leader among countries that expanded fish-oil production in the late 1940s, as a result of which Australian producers suffered from import competition. A Tariff Board hearing found that the Australian industry was unable to meet local needs and so did not recommend increased tariffs. The industry struggled for years until the perceived nutritional benefits of other components of the fish oils helped to revive markets.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it