Inovação social no terceiro setor: análise de ONGs de apoio a pessoas com infecções sexualmente transmissíveis
Bibliographic record
Abstract
Social innovation in the third sector: analysis of NGOs supporting people with sexually transmitted infectionsThis study is situated within the field of research on third-sector organizations, historically recognized for their role as mediators between public authorities and vulnerable communities.In the gentes of addressing sexually transmitted infections (STIs) in Brazil, non-gentesental organizations (NGOs) have established themselves as key gentes, promoting social inclusion, awareness, and support for marginalized populations.Over the past decades, these organizations have faced significant shifts in the focus of their activities and management, driven by socio-political and demographic transformations.The primary objective of this study was to analyze how NGO practices serve as a means of fostering social innovation in Brazil.To assess social innovation, the Franco-Quebecois theoretical approach was employed, emphasizing structural and systemic changes in institutions and public policies.This qualitative research utilized discourse analysis of interviews conducted with representatives from NGOs in three regions of Brazil (Northeast, Southeast, and South), combined with data from the 2024 Epidemiological Bulletin -HIV/AIDS.The investigation focused on governance practices, policy formulation, and the ways in which the actions of NGOs are perceived and experienced within their contexts of operation.The findings highlight that, despite challenges such as stigma, prejudice, educational gaps, and financial sustainability issues, NGOs play a transformative social role by promoting inclusion, education, and collaboration between the state and civil society.The study concludes that NGOs promote social innovation in Brazil by implementing practices such as participatory governance and joint actions with public management in their contexts; developing management strategies that ensure their sustainability; and creating educational strategies aligned with community representation to reduce inequalities and stigmas associated with STIs.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".