Pleasures of the Learned in Eighteenth-Century Ukraine: The Culture of Tea, Coffee, and Wine Consumption of the Church Elite
Bibliographic record
Abstract
The history of stimulants and pleasurable ceremonies in Ukraine of early modern times has hardly been investigated. This article provides an overview of tea, coffee, and wine culture among representatives of the eighteenth-century church elite in the Kyiv Metropoly (subsumed as a synodal entity by the Russian Orthodox Church since 1686). The favour accorded these beverages is indicated in inventories of goods belonging to members of this social micro-group that list virtually an entire spectrum of accoutrements, locally made as well as imported (including table services from China and Germany). Although wine and coffee were already consumed in Ukrainian territories, the clergy’s passion for various kinds of tea was sparked only around 1730, when it took consumers by storm throughout the Russian Empire. As medicinal ingredients, all three beverages were also mentioned in medical guides that were used in the Hetmanate at that time. Given that their cost, especially that of tea, was beyond what most could afford, drinking tea, coffee, and expensive wine became a mark of high status. Representatives of the church elite in Russian-ruled Ukraine were able to participated indirectly in the contemporary tea, coffee, and wine culture thanks to their education. In the eighteenth century, being educated assured clerics of a successful career. By the same token, rising to the higher ecclesiastical ranks prompted changes in their day-to-day habits and provided them material possibilities to conform to high-status consumption behaviours.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".