M&E Competencies in Support of the AIDS Response: A Sector-Specific Example
Bibliographic record
Abstract
The Joint United Nations Programme on HIV/AIDS (UNAIDS) led a consultative process to develop a self-assessment tool for HIV monitoring and evaluation (M&E) leadership competencies. The tool seemed fit-for-purpose in M&E staff recruitment and professional development. The willingness to use the self-assessment was related to the pragmatic and reality-based nature of the tool. A competency-based approach to M&E training was well accepted by professionals working at national and service-delivery levels. However, there is a need to update the HIV M&E competencies to adapt to specific M&E challenges in the broader context of aid effectiveness and to reflect a maturing evaluation profession. Le Programme Commun des Nations Unies sur le VIH/SIDA (ONUSIDA) a mene un processus de consultation pour elaborer un outil d’auto-evaluation pour les competences en leadership en suivi et evaluation (S&E) du VIH. L’outil semble apte au but en recrutement du personnel et developpement professionnel pour suivi et evaluation. La volonte d’utiliser l’auto-evaluation a ete liee a la nature pragmatique et fondee sur la realite de l’outil. Une approche axee sur les competences en formation S&E a ete bien recue par les professionnels qui travaillent a des niveaux nationaux de prestation de services. Cependant, il est necessaire d’actualiser les competences VIH S&E pour s’adapter aux defis specifiques au S&E dans le contexte plus large de l’efficacite de l’aide et pour refleter la maturation de la profession d’evaluation.
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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 | 0.035 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".