Concerned Whether You’ll Make It in Life? Status Anxiety Uniquely Explains Job Satisfaction
Bibliographic record
Abstract
Ever feel concerned that you may not achieve your career goals or feel worried about where your life is going? Such examples may reflect the experience of status anxiety, that is, concerns that one may be stuck or not able to move up in life, or worries that one may be too low in standing compared to society's standards. Status anxiety is believed to be exacerbated by economic inequality and negatively affect well-being. While job satisfaction is an important determinant of well-being, no research has examined whether status anxiety can also help explain people's satisfaction with their jobs. We tested whether status anxiety differs from other organizational constructs and uniquely relates to job satisfaction among full-time working adults. In a pilot study, we found that status anxiety is separate from the concept of job insecurity (e.g., perceived threat of job loss). Results of our main study also indicated that higher status anxiety significantly predicted lower job satisfaction beyond several other indicators of organizational attitudes (job insecurity, occupational self-efficacy, distributive, procedural, and interactional justice), as well as the tendency to seek status and several background factors (e.g., income, education, perceived socioeconomic status). We discuss the unique role of status anxiety in job satisfaction and the implications of this research to our understanding of status concerns, as well as organizational attitudes and policies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".