Career development for doctoral and postdoctoral trainees in Canada
Bibliographic record
Abstract
The career landscape for doctoral and postdoctoral trainees has significantly changed in recent decades. There is now an oversupply of PhD graduates in the science and engineering fields relative to the availability of academic positions, and jobs outside of academia have now become the norm. Doctoral training programmes have failed to keep pace with this change, and many trainees who are forced to rethink academic career aspirations feel unprepared for today’s job market. Intertwined with this are challenges associated with life stage and school-to-work transition, which make the career development issues facing doctoral and postdoctoral trainees unique and complex. The aim of this article is to shed light on these issues and to examine them through the lens of career development theories. Social cognitive career theory offers insight into the factors that influence career development in doctoral and postdoctoral trainees, and narrative career counselling can serve as a valuable intervention for this population to help shape their future career, whether within or outside of academia.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".