They Got Very Near the Goal: Zülzer, Scott, and Paulescu
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
Of the many investigators who went in search of the blood sugar-lowering hormone, three came very close to the goal. They owned patents for their extracts and, following the discoveries in Toronto, they attempted to claim their precedence. Georg Ludwig Zülzer in Berlin treated animals and patients with his acomatol – initially the results were inconsistent but in later years, together with Dr. Camille Reuter from Roche, a very effective insulin preparation was produced – sadly just at the time when the First World War began in 1914. The project ended with the war. In Chicago, Ernest Lyman Scott produced an effective extract when working on his thesis – but sadly the publication of his results was written so badly by his head of department that the manuscript passed unnoticed. Nicolai Paulescu produced insulin in Bucharest and observed positive effects in animals and patients. The results were published shortly before the work of Banting and Best, and for many years he and his Romanian colleagues fought for the recognition of his contribution to the discovery of insulin. His unforgivable extreme right-wing political activities only became known internationally after many years. The stories of the various reasons for the failures to produce a suitable extract for the treatment of diabetes is a lesson that teaches us how to avoid pitfalls in research.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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