Academic Support Services in U.S. and Canadian Medical Schools
Bibliographic record
Abstract
BACKGROUND: Academic support services play a critical but largely undocumented role in helping medical students meet the challenges of the curriculum. PURPOSE: To determine the prevalence of academic support programs in medical schools, and to find out how these are conceptualized and implemented. METHODS: Questionnaires were sent to medical schools in the US and Canada. Questions addressed specific services, providers, and funding. RESULTS: The survey was returned by 86 of the 135 (67.7%) schools. Almost all (95.3%) provide academic support in the first two years, and a large majority in third (82.6%) and fourth (79%) year. Great variability exists in the infrastructure and funding of the programs, and in the training of the providers. CONCLUSIONS: Academic support is common, but has broad interpretation; services are varied. Programs are conceptualized differently, some to provide specific assistance to pass courses, and others for skill development, to enhance self-directed, life-long learning.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".