CGIAR Annual General Meeting, Nairobi, Kenya, October 28 - 31, 2003 : Summary Record of Proceedings and Decisions
Bibliographic record
Abstract
Summary report of the CGIAR annual general meeting 2003, held in Nairobi, Kenya from October 28 to October 31, Ian Johnson presiding. This report contains both the summary of the stakeholder meeting as well as the summary for the business meeting. Inaugural remarks were delivered by H.E. Moody Awori, Vice President of Kenya. The stakeholder meeting report section covers briefings on the Challenge Programs and the Reform Program, briefings on the achievements and impacts of Centers' work, the science awards, and the innovation marketplace. Also included are updates from the Science Council, the Private Sector Committee, GFAR and a description of the 2003 Crawford Memorial Lecture delivered by Susan Whelan, Canadian Minister for International Development. The Business Meeting section contains reports on the EPMR of ISNAR and its subsequent closure, governance transfer to IFPRI and move to SSA, the EPR and EMR of ICRISAT and IPGRI's EPMR. Creation of a Task Force to conduct a broader study on rationalization of CGIAR operations across the System starting with Africa, initially SSA was also tabled. Also on the Business Meeting agenda were the OED Meta-Evaluation study, the iSC/Science Council transition, a report from SPIA, and the CGIAR's financing plan for 2004.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.169 | 0.106 |
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".