A Synthetic Review of Contraceptive Supplies in Punjab
Bibliographic record
Abstract
Use of contraceptive supplies around the world has given couples a chance to choose the number and spacing of their children and has had remarkable lifesaving benefits. Healthy time and spacing for pregnancies is helpful for mother’s and newborn’s health. Yet despite these efforts, contraceptive use is still low in Pakistan. In this paper an annual comparison of contraceptive commodities in Punjab obtained by Bureau of statistics and Pakistan Development statistics has been made. A consolidation of contraceptive commodities of first quarter of 2015 in Punjab in collaboration with Policy and Strategic Planning Unit (PSPU) and Integrated Reproductive Mother, Neonatal and Child Health (IRMNCH) & Nutrition Program of Punjab has been discussed. Suggestions have been given that how use of FP services can be improved through filling gaps for the implementation and evaluation of FP2020 initiatives. Family planning commodities requires a strategy for bridging the gaps to overcome the unmet needs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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".