8. Bureaucracy and Knowledge Creation: The Apothecary Chancery
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
Here, Griffin considers the extent to which, in the 17th century, a chancery established for the benefit of the Tsar and his family – the ‘Apothecary Chancery’ – could and did, albeit to a limited extent, generate knowledge for somewhat wider distribution. The chancery produced reports, covering a range of subjects, which included autopsies to establish cause of death, “physicals” of servitors to see if they were still fit to serve, investigations into the private trade in medical drugs, proposed courses of treatments, notes regarding unsuccessful treatments, and considerations of illnesses, medicines, and medical practices. Griffin uses these reports to investigate knowledge circulation and information technologies in the context of seventeenth-century Russian administration, and in turn to see what the Russian case can reveal about information technologies in the early modern context.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.011 | 0.006 |
| Research integrity | 0.000 | 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