AIMGA's Career Transition Program for IMGs
Bibliographic record
Abstract
Immigrant IMGs leave their home countries to come to Canada for various reasons. While there is often much uncertainty with immigrating to a new country, they come with the hopes to pursue licensure and re-enter their profession. Unfortunately, few achieve this goal. Many report economic barriers, suffer from a loss of professional identity, and have never considered an alternative career. The Career Transition Program was developed to assist IMGs to explore alternative careers in healthcare. The goals of the Career Transition Program were to 1) increase IMGs overall knowledge and awareness of alternative career pathways where IMGs can utilize their skills, experience and education through a series of workshops; 2) provide IMGs with the tools necessary to manage their own career path; 3) provide IMGs an opportunity to meet with fellow IMGs in alternative careers, employment coaches, HR consultants, and mentors in the field of health care to discuss alternative options and obtain feedback; and 4) complete a 50-hour observership/mentorship placement in an area of interest based on their skills, experience, and desired alternative career pathway(s). A total of 60 IMGs participated in the Career Transition Program in the past year. Mid-point surveys were conducted throughout the program and follow up conducted to assess IMG perceptions of alternative careers and their integration into alternative careers. Focus group discussions will take place with IMGs to understand their perspectives, supports, and barriers to finding alternative careers. This study is ongoing, and we expect to gain knowledge into the perceptions of IMGs and their experiences integrating into alternative careers. We expect to raise awareness among IMGs with regards to alternative pathways into healthcare and to increase uptake into these pathways where they are making contributions to the system and communities at large. Focus group perspectives will help identify current perceptions, challenges IMGs face in obtaining positions of employment in alternative careers, and necessary next steps. This study will facilitate development of the Career Transition Program initiative and define next steps with regards to capacity building, raising awareness, and facilitating integration of IMGs into alternative careers where they are both benefitting and making a positive contribution.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".