MétaCan
Menu
Back to cohort

Уральские скитники в «чулымской и колыванской тайге» (из истории старообрядчества Томской области в конце XIX – первой трети XX вв.)Ural Skete Dwellers in the “Chulym and Kolyvan Taiga” (From the History of the Old Believers of the Tomsk Region at the End of the 19th — First Third of the 20th Centuries)

2023· article· ru· W4386570389 on OpenAlexaboutno aff
С. А. Белобородов

Bibliographic record

VenueВестник антропологии (Herald of Anthropology) · 2023
Typearticle
Languageru
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PeriodizationPhenomenonOld townHistoryTaigaGeographyAncient historyEthnologyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Одной из главных задач в изучении такого сложного и противоречивого явления, как русское (и сибирское) старообрядчество является исследование локальных центров разных согласий и толков. По нашему глубочайшему убеждению, лишь такой подход дает возможность воссоздать цельную, объемную картину феномена старообрядчества в России. Статья посвящена реконструкции истории малоизвестного (в наши дни) скитского старообрядческого центра, появившегося в последней четверти XIX в. на территории Томской губернии и просуществовавшего до конца 1930‑х гг. Особое внимание автор уделяет воссозданию биографий скитников и скитниц, большинство из которых были уроженцами Урала и до переселения в Сибирь проживали в различных уральских скитах. Комплексное использование источников, имеющих как сибирское, так и уральское «происхождение», позволило существенно расширить наши представления об этих людях, а в отдельных случаях достаточно полно реконструировать жизненный путь выдающихся старцев и стариц, о судьбе которых до этого момента почти ничего не было известно. Затронуты вопросы, связанные с периодизацией переселенческого движения уральских скитников в Сибирь. Анализируются причины миграции значительно числа старообрядцев в Томскую губернию. Рассказывается о их жизни в новых условиях и проблемах, которые в 1930‑е гг. привели к новому переселению в еще более отдаленные края — на берега Енисея. One of the main tasks in studying such a complex and contradictory phenomenon as Russian (and Siberian) Old Believers is the study of local centers of different consents and interpretations. We firmly believe that only this approach makes it possible to recreate a complete, three‑dimensional “picture” of the phenomenon of Old Believers in Russia. The article is devoted to the reconstruction of the history of the little‑known (nowadays) Old Believers’ skete center, which appeared in the last quarter of the XIX century in the Tomsk province and existed until the end of the 1930s. The author pays special attention to the reconstruction of the biographies of skete dwellers, most of whom were natives of the Urals and lived in various Ural sketes before moving to Siberia. The comprehensive use of sources of both Siberian and Ural origin made it possible to significantly expand our understanding of these people, and in some cases quite fully reconstruct the biographies of prominent elders (starets), about whom little has been known until now. The paper also covers the issues of the periodization of the migration movement of the Ural skete dwellers to Siberia and the reasons for many Old Believers to migrate to the Tomsk province. It describes their life in the new conditions and problems that led to a new migration in the 1930‑s to even more remote lands — to the banks of the Yenisei.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.012
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.022
GPT teacher head0.250
Teacher spread0.227 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueВестник антропологии (Herald of Anthropology)Same topicRegional Socio-Economic Development TrendsFrench-language works237,207