Bibliographic record
Abstract
A growing literature indicates that people are increasingly motivated to experience a sense of meaning in their work lives. Little is known, however, about how perceptions of work meaningfulness influence job choice decisions. Although much of the research on job choice has focused on the importance of financial compensation, the subjective meanings attached to a job should also play a role. The current set of studies explored the hypothesis that people are willing to accept lower salaries for more meaningful work. In Study 1, participants reported lower minimum acceptable salaries when comparing jobs that they considered to be personally meaningful with those that they considered to be meaningless. In Study 2, an experimental enhancement of a job's apparent meaningfulness lowered the minimum acceptable salary that participants required for the position. In two large-scale cross-national samples of full-time employees in 2005 and 2015, Study 3 found that participants who experienced more meaningful work lives were more likely to turn down higher-paying job offers elsewhere. The strength of this effect also increased significantly over this time period. Study 4 replicated these findings in an online sample, such that participants who reported having more meaningful work were less willing to leave their current jobs and organizations for higher paying opportunities. These patterns of results remained significant when controlling for demographic factors and differences in job characteristics.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".