Challenges in monitoring and evaluation : an opportunity to institutionalize M&E systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objective of the Fifth Monitoring and Evaluation (M&E) Conference was to discuss challenges in institutionalizing M&E systems and using M&E information to support planning and budgeting decisions as well as to enhance government transparency and accountability. The structure of the present publication follows the structure of the fifth M&E conference agenda, which included seven sessions. The first session was devoted to the challenges facing evidence-based decision making: the role of M&E. The goal was to show experiences in which M&E has influenced resource allocation and the modification, strengthening, or elimination of policies or programs. The second session focused on institutional arrangements for M&E systems at the international level, and enabled participants to know, examine, and identify the advantages and difficulties of different institutional arrangements used in government management in Canada, Sri Lanka, Spain, and South Africa. The third session addressed the institutional M&E arrangements in Latin America and discussed experiences in the region, considering the characteristics, advantages, and disadvantages of M&E systems depending on whether they fall under or outside the executive, and how central M&E systems relate to and complement their sectoral counterparts. The special session discussed the achievements and challenges of the Colombian National System of Evaluation of Results-based Management (SINERGIA) in its 15 years of operation. The fifth session analyzed the development of M&E capacities and the alliances between the government, academia, and civil society. The sixth session dealt with the institutional arrangements and policies of M&E systems to ensure quality, access, and use of information. The seventh session of the conference focused on the exchange of information about the experiences and challenges that surround the creation of a national chapter of the M&E Network. Brazil presented their progress in establishing a national network.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it