International dentist degree students’ educational experiences, perceptions, and adaptation to the International Dentist Degree Program at the University of Manitoba
Bibliographic record
Abstract
Canadian universities are challenged by the lack of graduating enough dentists to meet the future needs of the Canadian population. Foreign-trained dentists (FTD) represent a valuable resource to society and the economy. Dental programs have trained FTD for various reasons: public need for healthcare services, income generation for universities, and demand by FTD who desire to practice dentistry in Canada. Changes implemented by the National Dental Examining Board (NDEB) of Canada in 2000 have resulted in FTD no longer being able to gain Canadian dental licensure through a certification examination. FTD are now required to complete a two-year advanced placement qualifying or degree program at a Canadian dental school prior to receiving licensure. In 2003, the University of Manitoba launched a two-year International Dentist Degree Program (IDDP). In Part I of the study, 19 transcribed interviews of IDDP graduates between 2004-2008 were analyzed manually. Five qualitative themes emerged from the dataset. The themes are identified as: (1) isolation and physical relocation issues (i.e., from friends, family and their culture), (2) personal and professional demands of the program (i.e., maintaining home life with spouse and /or children as well as the professional demands of a dental student), (3) emotional stress associated with the program, (i.e., personal struggles and financial stresses), (4) re-learning a system (i.e., both cultural and professional), and (5) overall program satisfaction. In Part II of the study, the mean differences between the outcome variables (Clinical Grades, Didactic Grades, Final Grade Point Average, and NDEB Written and OSCE scores) were statistically analyzed between the 37 IDDP graduates and 246 regular-stream dental graduates from 2003-2011. Based on analysis of the data, the IDDP graduates performed better than the regular-stream dental graduates in all the variables. The mean scores in each of the outcome variables were higher than the regular-stream group, the only variable that was found to be statistically significant was observed in the NDEB Written scores (p>0.05).
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".