MétaCan
Menu
Back to cohort
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 OpenAlex

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.

fundA Canadian funder is recorded on the work.
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

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.885
Threshold uncertainty score0.177

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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