The Unbearable Opportunity Costs of the Political Science PhD: Evidence and Lessons from Canada
Bibliographic record
Abstract
Abstract Limited academic career prospects are pushing PhD graduates in political science and other disciplines to nonacademic careers. Understanding the mismatch between student and supervisor perceptions of doctoral career training is a starting point for suggesting program reforms. This research note examines the perceptions of PhD students and supervisors on doctoral career training. We compare results from two surveys of English-speaking Canadian universities on doctoral political science programs; one surveys PhD students and the other surveys supervisors. These survey results suggest that 1) students are more aware of the limited academic job market and interested in nonacademic careers than supervisors realize; 2) supervisors are unaware of the sunk costs PhD students face; 3) supervisors and students have different preferences for change in doctoral programs; and 4) students overestimate supervisors’ confidence in preparing them for nonacademic careers. Changes in program design can better meet student needs in these PhD programs.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".