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
From the mid-sixteenth to the mid-nineteenth century Russia was transformed from a moderate-sized, land-locked principality into the largest empire on earth. How did systems of information and communication shape and reflect this extraordinary change? Information and Mechanisms of Communication in Russia, 1600-1850 brings together a range of contributions to shed some light on this complex question. Communication networks such as the postal service and the gathering and circulation of news are examined alongside the growth of a bureaucratic apparatus that informed the government about its country and its people. The inscription of space is considered from the point of view of mapping and the changing public ‘graphosphere’ of signs and monuments. More than a series of institutional histories, this book is concerned with the way Russia discovered itself, envisioned itself and represented itself to its people. Innovative and scholarly, this collection breaks new ground in its approach to communication and information as a field of study in Russia. More broadly, it is an accessible contribution to pre-modern information studies, taking as its basis a country whose history often serves to challenge habitual Western models of development. It is important reading not only for specialists in Russian Studies, but also for students and non-Russianists who are interested in the history of information and communications.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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