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Record W157749355

Демографические процессы среди ненцев Ямала в 20-30-е гг. Xx в

2013· article· ru· W157749355 on OpenAlexaboutno aff
Волжанина Елена Александровна

Bibliographic record

VenueVestnik Tomskogo gosudarstvennogo universiteta Filologiya · 2013
Typearticle
Languageru
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCensusGeographyIndigenousQuarter (Canadian coin)Representativeness heuristicPopulationStandard of livingDemographyEthnic groupSocioeconomicsSociologyArchaeologyPolitical scienceStatisticsEcology
DOInot available

Abstract

fetched live from OpenAlex

The paper raises the problem of growth of indigenous peoples in the first third of the 20th century. If they were described as non-viable and on the verge of extinction at the end of the 19th early 20th century, some authors concluded artificiality of this problem ''in order to draw the government's attention to the natives'' in the first quarter of the 20th century. There was an opinion in respect of nomads that complex conditions of their life cause their low natural increase compared to sedentary people. The paper considers the demographic characteristics of tundra and forest Nenetses living on the territory of modern Yamalo-Nenets Autonomous Okrug, according to the All-Union and the Polar censuses of 1926 and 1939, reports of the Yamal Region Department of Statistics, supplemented by household (pokhoziaistvennye) forms of north land management expeditions. Censuses show the increase of the total number of Yamal Nenetses in 13 years by more than 1.5 times, from 7,994 in 1926 to 13,454 people in 1939. However, the analysis of the percentage of various Samoyed groups in the structure of nomadic Nenetses points to unessential influence of ethnic processes on their growth. In accordance with the instructions of the 1939 census, a Nenets was the name given to all people classified in the questionnaires as Nenetsia, Nenets, Khasovo, Samoyed, Samodi, Samoyed-Jurak, Jurak, Iarany, Piankhasovo, Forest Nenets. The general demographic factors characterized the natural movement of the Nenets in the middle of 1920s calculated with using methodological recommendation of P.E. Terletskiy to employ average absolute fertility, mortality and natural growth confirm the conclusion that the sedentary peoples have higher natural increase. Obdorsk nomadic Samoyeds have relatively low fertility and mortality, including children mortality, compared to other nations, and their natural increase as in the third place after Russians and Ostyaks. The age and sex structure made by using the 1959 All-Union census data shows higher fertility rates for the Nenets in late 1920s and the 1930s than in previous years. Nevertheless most of Nenets families had few children because of the high infant mortality rate. One nuclear family of Yamal Nenetses had 2.8 children in average, of Forest Nenetses 2.5 children. The obtained data suggest simple reproduction of the Nenets generations. The difference in the data between the permanent and the existing population indicates little impact of the migration factor to the number of the Nenets. After analyzing all the factors we can argue that more than half of the absolute increase of the Nenets in the intercensus period of 1926-1939 is the result of refinements in their numbers, due to a careful organization of the census work. The character of their natural movement proved the consistently positive demographic situation that guaranteed low growth.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.013

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 head0.255
Teacher spread0.235 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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