Charitable activities of the Holy Trinity Sergius Lavra in the first quarter of the twentieth century
Bibliographic record
Abstract
Публикация посвящена благотворительной деятельности Свято-Троицкой Сергиевой Лавры. В первой четверти XX в., как и в любой другой период своего существования, Лавра осуществляла благотворительную деятельность в различных направлениях. Прежде всего это содержание больниц-богаделен, размещение и устройство трапез для богомольцев, финансовая помощь нуждающимся частным лицам. С началом Русско-японской и Первой мировой войн благотворительная деятельность Троице-Сергиевой Лавры усиливалась: открывался лазарет для больных и раненых воинов, предоставлялись лаврские помещения для обустройства госпиталей, оказывалась материальная и финансовая помощь благотворительным организациям и обществам и т. п. Прекратилась благотворительная деятельность обители после Октябрьского переворота 1917 г. в связи с закрытием Лавры. The publication is devoted to the charitable activities of Holy Trinity Sergius Lavra. In the first quarter of the 20th century, as in any other period of its existence, the Lavra was engaged in charitable work in various directions. They included, first of all, maintenance of hospitals and chapels, hosting and organizing refectories for the worshipers, and financial aid for private individuals in need. With the beginning of Russian-Japanese War and World War I, the charitable activity of Trinity-St. Sergius Lavra was intensified, the hospital for the wounded soldiers was opened, Lavra premises for hospitals were given to, material and financial help was rendered to charitable organizations and societies, etc. The monastery's charitable work ceased after the October revolution of 1917, when the Lavra was closed down.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".