Regional fertility characteristics of urban population of Kazakhstan at the end of the 20th–first quarter of the 21st centuries
Bibliographic record
Abstract
The article examines the current state of fertility processes in Kazakhstan, the diversity of reproductive scenarios, and the reasons for their formation. The authors proceed by analysing the sovereign demographic system formed in Kazakhstan in the first quarter of the 21st century based on the Kazakh ethnic group. Cluster analysis was performed for demographic zones, considering indicators such as the proportion of Kazakhs in the urban population and the total fertility rate in cities. We believe that case technology allows us to demonstrate the differences in the reproductive attitudes and behaviour of urban Kazakhs, ultimately determining the trends in reproductive processes in the country. The focus is given to the socio-cultural and socio-economic differences across the regions of Kazakhstan and their impact on fertility processes in the context of the accelerated urbanisation of Kazakhs. The main variants of adaptation of the reproductive behaviour of Kazakhs to new urban living conditions are described, and an assumption is made about further prospects for maintaining or changing birth rates in Kazakhstan.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".