Using Strength of Fertility Motivations to Identify Family Planning Program Strategies
Bibliographic record
Abstract
CONTEXT: Use of unmet need for family planning to identify prospective clients may misrepresent the actual family planning needs of a population, given that a large proportion of women have ambivalent fertility desires. METHODS: Survey data for 1998 and 2003 from Burkina Faso, Ghana and Kenya were used to examine the fertility desires and motivations of women who said they wanted to delay or limit childbearing. A question on how much of a problem it would be if women found out they were pregnant in the next few weeks measured the strength of their fertility motivations. RESULTS: In Burkina Faso and Ghana, about a quarter of women who said they wanted to delay or limit childbearing also reported that it would be no problem or a small problem if they became pregnant soon. This response pattern was equally common among contraceptive users and nonusers. In Kenya, more than four in 10 women gave such ambivalent responses. Among women with an unmet need for means of delaying or limiting childbearing, 16-31% of those in Burkina Faso and Ghana, and 30-56% of those in Kenya, said that getting pregnant in the next few weeks would be no problem or a small problem. CONCLUSIONS: It is critical to consider the strength of fertility motivations when determining which women have family planning needs. Targeting women who are the most motivated to avoid childbearing will likely have the greatest impact on reducing unintended pregnancy in Sub-Saharan Africa.
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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 | 0.000 | 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".