Beyond Retention: National Health Service Corps Participation and Subsequent Practice Locations of a Cohort of Rural Family Physicians
Bibliographic record
Abstract
Background: This report addresses the long-term career paths and retrospective impressions of a cohort of family physicians who served in rural National Health Service Corps (NHSC) sites in return for having received medical school scholarships during the early 1980s. Methods: We surveyed all physicians who graduated from medical school between 1980 and 1983, received NHSC scholarships, completed family medicine residencies, and served in rural areas. Two hundred fifty-eight physicians responded to our survey with complete information, 76 percent of the members of the cohort who could be located and met the study criteria. Results: In 1994 one quarter of the respondents were still practicing in the county to which they had been assigned by the NHSC, an average of 6.1 years after the end of their obligation. Another 27 percent were still in rural practice. Of the entire group, less than 40 percent were in traditional urban private or managed care settings. Conclusions: Although only one quarter of NHSC assignees remain long term in their original assignment counties, they provide a large (and growing) amount of nonobligated service to those areas. Of those who leave, many remain in rural practice or work in community-oriented urban practices. 0 Am
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".