70. Supporting IMG integration into residency trainings
Bibliographic record
Abstract
This paper is describes the design, development, implementation and evaluation of a preparatory training program for international medical trainees. The program was offered for one week full time shortly before they begin their residency training programs. First the paper reports on the survey and focus groups that guided the learning objectives and the course content. Next the paper describes the curriculum development phase and reports on the topical themes, session goals and objectives and learning materials. Three main themes emerged when developing the program: understanding the educational, health and practice systems in Canada; development of communication skills; and supporting personal success in residency training including self assessment, reflection and personal wellness. Sample lesson plans and handouts from each of the theme areas are illustrated. The comprehensive evaluation of the sessions and the overall program is then also described. The paper then summarizes the identified key issues and challenges in the design and implementation of a preparatory training program for international medical trainees before they begin their residency training programs. Allan GM, Manca D, Szafran O, Korownyk C. Workforce issues in general surgery. Am Surg. 2007 Feb; 73(2):100-8. Dauphinee, WD. The circle game: understanding physician migration patterns within Canada. Acad Med. 2006 (Dec); 81(12 Suppl):S49-54. Spike NA. International medical graduates: the Australian perspective. Academic Medicine. 2006 (Sept); 81(9):842-6.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.011 |
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".