Хозяйственное освоение Томского уезда служилыми людьми в XVIII в
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».