Review of the Cumulative Access Limits under the Rapid Credit Facility
Bibliographic record
Abstract
This paper reviews the cumulative access limits (CALs) under the Rapid Credit Facility (RCF) of the PRGT. As part of its pandemic response in 2020, the Fund temporarily increased annual and cumulative access limits by 50 percent of quota under its emergency financing instruments, the RCF and the Rapid Financing Instrument (RFI). The pre-pandemic CALs under the RFI were already restored on July 1, 2024. Staff proposed and the Board approved on November 7, 2025, a two-step, time bound reversion of RCF CALs to pre pandemic levels. Specifically, the current CALs for RCF exogenous shock (ES) and large natural disaster (LND) windows would remain in place for another year, followed by a 25 percent of quota reduction on January 1, 2027, and another 25 percent of quota a year later. This would restore CALs under the RCF ES and LND windows to their pre-pandemic levels of 100 and 133.33 percent of quota by the start of 2028. This time-bound, phased approach would provide predictability for the return of RCF CALs to pre-pandemic levels while retaining adequate borrowing space for most LICs to cope with unexpected exogenous shocks. For RCF food shock window (FSW) users, the additional 25 percent of quota would remain until end-2029, aligned with the timing of repayments.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".