Fifty Years of Family Planning in the Democratic Republic of the Congo : The Dogged Pursuit of Progress
Bibliographic record
Abstract
This book chronicles five decades of struggle to introduce family planning into one of the largest, most complex countries in sub-Saharan Africa: the Democratic Republic of the Congo (DRC). Interweaving details of major political, social, and economic events into the history of family planning in DRC (formerly Zaïre), the book analyses the achievements and setbacks of five decades of programmatic work. President Mobutu’s 1972 discourse on Naissances Désirables (desirable births) opened the door to organized family planning programs, which gained considerable momentum in the 1980s despite societal norms favoring large families. Two pillages and armed conflict paralyzed development work during the decade of the 1990s, and family planning was one of multiple public health programs that struggled to regain lost ground in the 2000s. With new donor funding and implementing agencies, the 2010s witnessed rapid programmatic expansion and improved strategies. By 2018, family planning was operating as a well-oiled machine. But progress is fragile. The book ends by tracing the deleterious effects of the colonial period to contemporary programming and individual contraceptive use. It asks hard questions about donor financing. And it details the six conditions needed to accelerate family planning progress in the DRC, in pursuit of providing millions of Congolese women and men with the means of controlling their own fertility. The book will be of interest to development and public health researchers and practitioners, as well as to historians of the Democratic Republic of the Congo. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non (CC-BY) 4.0 license.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".