Foreign Medical Schools: Education Should Improve Monitoring of Schools That Participate in the Federal Student Loan Program
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "Each year, the federal government makes a significant financial investment in the education and training of the U.S. physician workforce. A quarter of that physician workforce is composed of international medical graduates (IMG) and they include both U.S. citizens and foreign nationals. In fiscal year 2008, the federal government loaned $633 million to U.S. students enrolled in foreign institutions--including medical students--through the Federal Family Education Loan (FFEL) program. The government also makes a substantial domestic investment in the graduate training of the physician workforce. For example, in fiscal year 2008, federal support for residency training in the United States amounted to nearly $9 billion. As with medical students educated in the United States, this training is required of all IMGs--U.S. citizens and foreign nationals alike--who seek to practice medicine without supervision in the United States. The Department of Education (Education), which administers the federal student loan program, must also monitor foreign schools that seek to participate in the program with respect to specific statutory requirements. Among these is the statutory requirement that at least 60 percent of their students who take the U.S. medical licensing exam must pass the exam. Most recently, Congress increased the pass rate to 75 percent, effective July 2010. Little is known about IMGs with respect to how much they borrow overall, or the outcome of their medical studies, leading some policy makers to question the federal return on investment in IMGs. Therefore, Congress mandated that GAO study the performance of IMGs educated at these schools and other aspects of a foreign medical education, including the potential effect of the new 75 percent pass rate requirement on school participation in the federal loan program. This report examines the following questions: 1) What amount of federal student aid loan dollars has been awarded to U.S. students attending foreign medical schools? 2) What do the data show about the pass rates of international medical graduates on license examinations? 3) To what extent does Education monitor foreign medical schools' compliance with the pass rate required to participate in the federal student loan program? 4) What is known about schools' performance with regard to the institutional pass rate requirement? 5) What is known about where international medical graduates have obtained residencies in the United States and the types of medicine they practice?"
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.
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 | 0.022 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".