Living conditions and ideal number of children in Tehran, Iran
Bibliographic record
Abstract
objective(s): Information about ideal number of children enhances the development of realistic and effective population polices. This study aimed to estimate ideal number of children contingent on actual and ideal living conditions among young married individuals. Methods: The study was based on representative data from the 2012 Tehran Survey of Fertility Intentions (n= 2267), conducted in the population of married women and men aged under 36 years who lived in the 22 districts of Tehran, Iran. Ideal numbers of children in actual and ideal living conditions were estimated for the study population and socio-economic sub-groups of the population. Results: According to the results, the ideal number of children in actual and ideal living conditions were reported 1.6 and 2.2 children respectively. The ideal number of children declined with the rise of education, age at marriage, income, and being less religous. The ideal number of children varied by place of residence, where those lived in the southern districts of the city of Tehran reported higher number of ideal number for children. Conclusion: The results of this study suggest that the ideal number of children of young couples is affected by their living conditions. So, the success of any pronatalist population polices depends on the improvement of couples’ living conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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 teacher head, 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".