Demographic Trends in Ukraine: Past, Present, and Future
Bibliographic record
Abstract
Ukraine, during the first half of the twentieth century, underwent a series of man‐made demographic catastrophes—World War I, the Bolshevik Revolution, the 1932/33 famine linked to land collectivization, the massive deportations and executions of Stalin's Great Terror, and World War II. This article assembles estimates of the demographic impact of these deadly events. In their absence, it is estimated that Ukraine's hypothetical population would have been 87 million on the eve of independence in 1991, instead of its actual 52 million. Pre‐independence demographic losses were episodic and driven by external forces. By contrast, since independence in 1991, Ukraine has experienced a sustained demographic crisis of its own making. Ukraine's population declined from 52 million in 1990 to 45 million by 2013. Fertility, while it has recovered from its lowest point, remains at a TFR of about 1.5—far below replacement. Emigration, although the greatest hemorrhage of young people in the 1990s is over, is still of concern. The loss of Crimea and the unsettled state of affairs in Southeastern Ukraine give further cause for concern.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".