IFC Annual Report 2006 : Increasing Impact, Volume 1
Bibliographic record
Abstract
The International Finance Corporation (IFC), in its 50th year, is the largest provider of multilateral financing for private sector projects in the developing world. In fiscal 2006, it committed $6.7 billion in funds from its own account and mobilized an additional $1.6 billion through syndications and $1.3 billion through structured finance. Based on the total costs of the private sector projects it helped finance this year, each $1 in IFC commitments for its own account resulted in an additional $2.88 in funding from other sources. Altogether, IFC supported 284 investment projects in 66 countries. This year nearly a quarter of IFC commitments were in low-income or high-risk countries, demonstrating the viability of private enterprise even in difficult environments. IFC's investment commitments to firms operating in the Middle East and North Africa more than doubled in fiscal 2006, and commitments for private sector projects in Sub-Saharan Africa increased nearly 60 percent. IFC introduced a new development outcome tracking system for investment operations to measure and track results throughout the life of a project; a similar system was implemented to monitor the development impact of all active technical assistance and advisory projects.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.335 | 0.361 |
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".