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Record W330153481

Хозяйственное освоение Томского уезда служилыми людьми в XVIII в

2011· article· ru· W330153481 on OpenAlex
Чурсина Анна Анатольевна

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueВестник Томского государственного университета. История · 2011
Typearticle
Languageru
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsPeasantService (business)GeographyEthnologyQuarter (Canadian coin)AgricultureHistorySocioeconomicsArchaeologySociologyEconomy
DOInot available

Abstract

fetched live from OpenAlex

During the 17th century several agricultural regions appeared on the territory of Tomsk uyezd. The article is concerned with the developing of Podgorodny and Spassky regions by the men of service and their descendants. The region had appeared before the all the rest ones and became the foundation for the further colonization of the uyezd lands. In 1720 Podgorodny region includes 65 farms, 40 of them belonged to the men of service, retired Cossacks and Cossack children. 18 farms belonged to the posadsky people, 5 farms belonged to the widows of the men of service and two ones belonged to the obrochny people. The peasant farms havent been mentioned. The family composition of the men of service was represented with the Arkashevs, the Bazhenins, the Gutovyms, the Grigorivskys, the Kolmogorovs, the Kuznetsovs, the Kuchumovs, the Olovenishnikovs, the Permitinovs, the Petukhovs, the Plotnikovs, the Protopopovs, the Chuskaevs. If in 1720 only 15% of the men of service didnt have any tillage, by 1759 among their descendants there were 73% landless. But only the fifth part of raznochinetz had the tillage in 0,5 1 dessiatina, but only 6% of the descendants of the men of service of Podgorodny region cultivated in 2 dessiatinas. In the first quarter of the 18th century in the composition of Spassky region one managed to determine besides Spassky region the village of Baturino, Verkhnebasandaisky, Ipatova, Vershinino and Kaltaiskaya. The men of service and Cossack children were represented with 23 families. The peasants lived only in Spassky village. By the middle of the century the percent of the uncultivated farms increased. Their quantity composed of 32%, the majority of the farms composed of the lands being cultivated from 0,5 to 2 dessiatinas (45%, 42 farms). Only in the village of Kaltaisky and Vershinino it has been observed the increase of the areas under crops in 2 5 dessiatinas in separate farms of the descendants of the men of service. In spite of the fact that 15% of the peasants didnt have any tillage by the end of the century, as a whole the increase of the areas under crops composed of 1,5 dessiatinas in one farm during the century. In Podgorodny region the raznochinetz of 112 farms were horseless and composed of 28 (25%) masters of the farm, there was only one horse in 40% of the farms. In Spassky region only 10 people (11%) didnt have any horses among 93 masters-raznochinetz, the whole number ran to 198 horses, on average in 2 for one farm. As for the peasants of Spassky region among 67 masters of the farm 10 (15%) of them didnt have any horses, on average there were about 3 horses in one farm. 20 people (35%) had only one horse. Thus the men of service became the first who started to develop the mentioned lands in agricultural meaning. The peasants lived only in Spassky village. The extension of the lands under crops during the 18th century was insignificant. Many descendants of the men of service gave up farming. It has been observed the small but stable increase of the areas under crops in Spassky village, the majority of its inhabitants made up the descendants of the peasants first settlers.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.004
Science and technology studies0.0050.006
Scholarly communication0.0010.004
Open science0.0070.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0310.028

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 head0.112
GPT teacher head0.284
Teacher spread0.172 · 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