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Record W2144237055 · doi:10.1177/2233865914535597

Death by demography: 1979 as a turning point in the disintegration of the Soviet Union

2014· article· en· W2144237055 on OpenAlexfundno aff
Monica Duffy Toft

Bibliographic record

VenueInternational Area Studies Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
FundersDalhousie University
KeywordsCensusSoviet unionPopulationTurning pointCommunismPoliticsDevelopment economicsDemographyPower (physics)Political scienceSlavic languagesGeographyEconomic historyPolitical economySociologyHistoryLawEconomicsPeriod (music)

Abstract

fetched live from OpenAlex

The 1979 census conducted across the vast expanse of the Soviet Union revealed that the make-up of the country’s population had undergone enormous change. The census recorded low birth-rates among the Slavic population relative to their Central Asian compatriots, among other trends. The results were worrisome to Soviet planners in that they feared that these domestic population trends were going to undermine the country’s power. At the same time, Soviets faced the defeat of communist allies in Afghanistan at the hands of fighters beholden to religion, and an Islamic revolution in Iran. What these dynamics revealed was a complex interplay between domestic, regional and international politics. Interpreted through the lens of population dynamics, the convergence of these events revealed 1979 to be a critical turning point in the disintegration of the Soviet Union.

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)0.002
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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.348
Teacher spread0.311 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Area Studies ReviewSame topicSoviet and Russian HistoryFrench-language works237,207