Career pathways and professional skills of postgraduate students from a dental research‐intensive programme
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: With current global trends in postgraduate education, graduate programmes must make evidence-based improvements to offer the best programme that aligns with student needs and prepare them for their future career prospects. The aim of this cross-sectional study was to investigate the postgraduation career pathways of MSc and PhD students who graduated within the past 15 years from the McGill University Postgraduate Dental Research Program. MATERIALS AND METHODS: An online questionnaire, composed of 10 closed-ended format items, was used that covered domains such as student profile, career profile, postgraduate skill development, job search experience and satisfaction. Descriptive statistics and interpretative qualitative analysis were used to evaluate student feedback. RESULTS: Sixty-six students responded to the online survey, out of which sixty-two students completed the survey (61% participation rate). The majority of the graduate students, 67% (n = 44), obtained MSc degree in Dental Sciences. Overall, our results showed that most graduates started careers in academia in their original field of study and were satisfied with their income. Most graduates reported "critical and creative thinking" to be the strongest acquired skills during their postgraduate training and identified fierce competition for their position of interest as the main challenge after graduation. DISCUSSION AND CONCLUSION: Our results showed that graduates in dental research appeared to be overall satisfied with their careers after postgraduate research training, both in terms of scope of practice and income. However, strong competition in obtaining the position of their interest seemed to be the main obstacle after graduation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it