Frontiers of public service motivation research in Canada: A scoping review
Bibliographic record
Abstract
Abstract The Canadian public sector employs around one‐fifth of Canadian workers; they are responsible for policy making, stewarding public funds, and serving the public. Canadian governments struggle with job satisfaction, engagement, retention, and turnover, all of which may be associated with public service motivation (PSM). We conducted a scoping review of Canadian PSM research to synthesize what is known about these associations in the Canadian context. We identified 24 published studies and four works in progress. These demonstrate that PSM exists among Canadian public servants from the early stages of their career until later stages, and that PSM bolsters attraction to public sector work among students. No studies measured PSM among Canadian public servants using a validated instrument. Further research about the contributions of PSM to the quality of Canadian public services and how employers can nurture PSM is recommended, particularly given recent changes in work environments.
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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 | 0.018 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.027 | 0.042 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".