Russian Orthodoxy and Autobiographies in the Early Modern Period from a Mediterranean Perspective
Bibliographic record
Abstract
[Rev. of: Faith and Selfhood in a Changing Society: Autobiography and Orthodoxy in Russia from the End of the Seventeenth to the Beginning of the Twentieth Century, ed. Laurie Manchester and Denis A. Sdvizhkov. Moscow: NLO, 2019. 408 pp. (in Russian)] The collection of papers “Faith and Selfhood in a Changing Society: Autobiography and Orthodoxy in Russia from the End of the Seventeenth to the Beginning of the Twentieth Century” served as a stimulus for reflection on Orthodoxy in Russia and autobiographies as a literary genre at the beginning of the early Modern Age from a Mediterranean point of view. Studying the contributions of fifteen prominent scholars from Russia, Poland, Germany, Canada and the United States on various aspects of the immensely rich Russian spiritual heritage from the mid-17th until the first half of the 20th centuries, the author recognizes their fundamental connection in a sincere interest in the gradual modernization of the Russian society, deeply rooted in the Russian Orthodox faith, as well as in the gradual development of individualism, both in its institutional and non-institutional forms: within the framework of the Russian imperial state and official patriarchal church institutions, but also on the periphery of political movements and religious sects. Despite the relatively narrow area of research devoted to various forms of autobiographies (written mainly by the clergy, less often by the members of secular aristocratic and bourgeois circles), this collection of papers represents not only a carefully written and reliable way to understand one of the fundamental aspects of the Russian spiritual culture, but it also invites for comparison with other similar environments. This prompted the author of the review to make a journey through the parallel literary world of the Republic of Dubrovnik (as the only independent Slavic state in that period, with the exception of the Russian Empire) from the 16th to the 19th centuries, with the conclusion that the predominance of biographies to the detriment of autobiographies in Dubrovnik at that time also speaks of strong pragmatism and aspiration to take care exclusively of the state interests in the literary sphere.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".