Financiamiento mundial para la lucha contra el SIDA y reemergencia de la discusión sobre su “excepcionalismo” - Global AIDS Funding and the Re-Emergence of AIDS ‘Exceptionalism’
Bibliographic record
Abstract
Resumen En los ultimos anos, como respuesta a los aumentos “revolucionarios” en el financiamiento mundial para la salud que se han generado alrededor del tratamiento del VIH/SIDA, se ha observado la reaparicion de acusaciones al “excepcionalismo del SIDA”. Se dice que tales aumentos ilustran que el SIDA demanda una porcion excepcional y exagerada de los recursos mundiales; en detrimento de otras necesidades en salud y del fortalecimiento de los sistemas de salud. Este texto, en cambio, sostiene que el “excepcionalismo” del SIDA en su financiamiento representa una divergencia bien recibida con respecto la antigua norma que tolera asignaciones internas y mundiales claramente insuficientes a la salud. Bajo esta perspectiva, el excepcionalismo del SIDA ha actuado como un correctivo de las politicas excluyentes e inequitativas de VIH/SIDA (aunque sea una anomalia politica). Palabras clave: VIH/SIDA, excepcionalismo, desigualdades en salud Abstract Recent years have seen the re-emergence of charges of AIDS exceptionalism in response to significant increases in global funding for health that have coalesced around HIV/AIDS treatment. These increases are argued to illustrate that AIDS demands an exceptional and exaggerated portion of global resources to the detriment of other health needs and the strengthening of health systems. I argue in contrast that AIDS ‘exceptionalism’ in funding represents a welcome departure from a long-standing norm that tolerates grossly insufficient domestic and global allocations to health. In this light, AIDS ‘exceptionalism’ while a political anomaly, has acted as a transformative corrective to exclusionary and inequitable HIV/AIDS policies, and may offer important strategic opportunities for increasing attention to other global health inequities and assuring realization of the right to the highest attainable standard of health. To realize this potential, civil society actors, policy-makers and international organizations should utilize the normative, strategic and operational possibilities opened up by amplified AIDS funding as the thin edge of a considerably larger global health wedge. Key words: HIV/AIDS, excepcionalism, health inequalities
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".