The Kuranty in Context: Dutch Lading Lists and Their Russian Translations. Part 1
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
There is a great deal of recent scholarship exploring how foreign news reached early modern Russia and what its impact there was. Of particular importance is the study of the kuranty, the translations of Western newspapers and pamphlets. By examining closely what may seem to have been an unusual choice to translate from Dutch newspapers – the cargo lists of Dutch ships from the East Indies – this article suggests how it might be possible to contextualize the news translations more broadly than has been done to date. It is important to examine the significance of the news where it originally appeared, since its significance in the Russian context may be quite different. And it is also important not just to focus on the Russian government’s interest in the political news that informed its foreign policy. Over a period of decades, the importance given certain topics may have changed. The interests of the translators themselves – among them Andrei Vinius – may help to explain why they selected particular items for translation from the substantial quantity of foreign news which began to arrive in Moscow regularly upon the establishment of the foreign postal connection in 1665. The article is published in two parts, the first one here covering the background and the analysis of the evidence up through 1665. The second part, to appear in a subsequent number of the journal, will deal with the lading lists of 1667 and 1671 and the complex analysis of the context within which they may have been of particular interest in Moscow.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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