IFC and Ireland, Partners in Private Sector Development
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
IFC’s main government counterparts are the Ministry of Finance, Irish Aid, and Enterprise Ireland. In FY19-23, Ireland provided cumulative funding of over five million in support of IFC Advisory Services, of which close to two million was committed in FY23. To date, Irish funding has supported several strategic IFC initiatives aimed at promoting private sector development in emerging markets, including in conflict-affected states in Africa, as well as gender equality and inclusion. In September 2019, IFC listed its first Canadian dollar green bond on the Euronext Dublin, the first time IFC has listed a green bond on Dublin’s stock exchange. In October 2018, IFC and the Ireland Strategic Investment Fund (ISIF) signed a Memorandum of Understanding to work together to generate growth opportunities for Irish companies in emerging markets, with an initial focus on the food and agriculture sectors.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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