Bibliographic record
Abstract
Career plateau research is heavily focused on the private sector at the management level. There are few studies which examine career plateau in the public sector and no studies of career plateau in the Canadian core public sector. This qualitative research study is the first career plateau study focused on the core public sector in Canada. The systematic review study includes a map of the career plateau research and completed a synthesis analysis to provide new insights into career plateau. The second study involved an initial 67 participants with further data being gathered from focused interviews of 48 participants who were classified as career plateaued. Echo sorting and content analysis of the resulting data was completed to explore the perceived causes of career plateau; identify the affective impacts of career plateau on public servants; examine the behavioural responses of public servants to being career plateaued; and identify organizational implications. The study results indicate that public servants perceive the causes and affective impacts of career plateau generally consistent with existing research findings while some of the perceived causes categories may possibly be unique to the public service setting. However, public servants may respond to career plateau in two unique ways involving public service value responses and responses based on public sector organizational characteristics. Given that this is the first study to be completed on career plateau in the Canadian public service, all the findings must be considered tentative. The categories developed throughout the study describing how public servants feel and respond to career plateau as well as the organizational implications all require further refinement and more empirical testing.
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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 | 0.016 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".