The pitfalls of career plateau: unravelling the mechanisms and conditions leading to adverse career outcomes
Bibliographic record
Abstract
Purpose Using social cognitive career theory assumptions, the harmful effects of career plateau on other career-related variables (e.g. organizational mobility preference, career goal disengagement and career insecurity) via perceived marketability types. Moreover, the authors also examine how these indirect effects are conditional on employees’ career competencies in a moderated mediation model. Design/methodology/approach Using a multi-wave research design, the authors collected temporally segregated data from a sample of employees (n = 292) in Pakistan’s service sector. Findings The results support the indirect effects of career plateau on career outcomes through perceived marketability types. In addition, their findings support the view that the indirect effects of career plateau on career outcomes are more potent for employees with low career competencies. Originality/value Their study provides unique insights into vocational and career literature by untangling the mechanisms and boundary conditions through which career plateaus affect employees’ career outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".