Iran’s shift in family planning policies: concerns and challenges
Bibliographic record
Abstract
Iran's significant success in implementing Family Planning (FP) during the past 25 years, has made it a role model in the world. The Total Fertility Rate (TFR) in Iran has dropped from 6.5 in 1960 to 1.6 in 2012, which is well below the targeted value of 2.2 for the country. Iran's success story, however, did not merely root in the implementation of FP programs. In other words, families' strong tendency to limit fertility and delayed marriages had an undeniable role in decreasing the TFR. On the other hand, Iranian policy-makers are very concerned about such a decrease and have recently restricted access to contraception, while outlawing any surgery that reduces fertility. This paper, tries to highlight the pros and cons of such restrictive policies, and argue that the policy-makers might be jeopardizing the success of Iran's FP program by overestimating its role in the TFR reduction rate.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".