Contributions of Civil Society Organizations to the Provision of Sexual and Reproductive Health Services to Vulnerable Populations in Latin America
Bibliographic record
Abstract
The involvement of civil society organizations in sexual and reproductive health (SRH) programs in Latin America began to expand during the health sector reforms era. These organizations have undergone significant changes over the decades, being able to collaborate with government agencies, the private sector and international agencies with the commitment to address the specific needs of vulnerable populations in the countries. We provide a synthesized and analytical description of the experiences of 17 civil organizations that carry out actions in the field of SRH in five Latin American countries. The aim is to understand the variety of organizational models, the populations served, the funding, and the activities they perform in the SRH field. A multi-case study focused on 17 organizations that primarily carry actions on SRH, especially for vulnerable populations in Latin America: Colombia, Guatemala, Ecuador, Mexico, and Peru. Data collection was carried out in two stages: gathering preliminary information and semi-structured interviews with 55 members of the organizations. The analysis was based on categories constructed prior to the process. These are described through four categories: Characteristics of target populations; Relationship with government structure and other interested actors; Activities Carried Out in Response to SRH; Achievements and scope of civil organizations in sexual and reproductive health and reproductive rights. Civil society organizations in the studied countries are essential within health systems, acting as agents of equity, expert service providers, and with a strong commitment to their target populations. In this study, they encountered several financial and political challenges. Their ability to adapt and the recognition they receive from the populations they serve stands out. Civil organizations not only fill significant gaps in the provision of SRH services but also become catalytic forces for social change and equity. It is essential to develop funding mechanisms and support policies that allow their continuous operation, expansion, and informed participation in decision-making processes in Latin America.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".