Accounting for Social Purpose Alliances: Confronting the HIV/AIDS Pandemic in Africa
Bibliographic record
Abstract
Social purpose alliances are an increasingly important organizational form used by governments and supranational institutions to address large-scale social problems. Little is known, however, about how these alliances are organized and directed. This study investigates one such alliance, focusing on how accounting practices are being used to arrange, coordinate, and control a geographically-dispersed and heterogeneous group of actors involved in the fight against HIV/AIDS in Ghana, Africa. It considers how the World Bank and the Ghana AIDS Commission are using accounting to assemble and coordinate over 3000 NGO and community-based organizations which, in turn, provide HIV/AIDS prevention and treatment activities throughout the country. The analysis shows not only the centrality of accounting in the alliance-building process but also the tensions that exist between those activities aimed at governing individual actors and on-the-ground health activities. Archival documents along with 57 semi-structured interviews carried out between 2003 and 2006 provide the data for the study.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".