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To the Study of the Charity of the Buddhist Clergy of Eastern Siberia in the First Quarter of the 20th Century (Based on Materials from the State Archives of the Republic of Buryatia)

2025· article· en· W4414743625 on OpenAlexaboutno aff
Bazar D. Tsybenov

Bibliographic record

VenueStudy of Religion · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCultural, Linguistic, Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismState (computer science)Quarter (Canadian coin)PoliticsSpanish Civil WarThe RepublicCult

Abstract

fetched live from OpenAlex

The State Archives of the Republic of Buryatia store materials on the history of the Russian Buddhist Church, including relations with authorities and charity. Some of these materials are not used in historians. Documents confi rm the integration of Buddhist clergy into the imperial political system at the beginning of the 20th century. Pandito Khambo Lama adequately responded to the instructions of regional authorities, collecting donations for the Russian army and helping hospitals. Buddhist leaders assisted local authorities in mobilizing Buryat Cossacks during the Russo-Japanese War (1904–1905). In 1908, they took special measures when Japanese intelligence agents disguised themselves as missionaries and arrived in Transbaikalia. The peak of charitable activity by Buddhist clergy in Eastern Siberia occurred during World War I. Buddhist leaders Itigelov, Agvan Dorzhiev, and Iroltuev created the “All-Buryat Committee to collect donations for the needs of war”. The help of Buryat monks was great. Monasteries collected donations to fi nance military hospitals. Abbots brought information about the progress of military operations to the population. Lama healers visited the places where mobilized Buryats were staying, and parishioners paid for their travel expenses. During the Civil War, Buddhist clergy collected donations for starving people in the Volga region, which was carried out under diffi cult conditions of famine. The author studied sources on the collection of donations in Selenga Aimak, the Buryat-Mongolian Autonomous Region, RSFSR, 1921–1922, when the size of charity signifi cantly decreased. Buryat clergy managed to help starving Volga residents and Buryat students in Moscow with food and money. When Pandito Khambo Lama called for constant material assistance to the starving people of the Volga region, Buryat monks donated objects of religious worship.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.020
GPT teacher head0.279
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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