“I Can Only Work So Hard Before I Burn Out.” A Time Sensitive Conceptual Integration of Ideological Psychological Contract Breach, Work Effort, and Burnout
Bibliographic record
Abstract
Employees often draw meaning from personal experiences and contributions in their work, particularly when engaging in organizational activities that align with their personal identity or values. However, recent empirical findings have demonstrated how meaningful work can also have a negative effect on employee’s well-being as employees feel so invested in their work, they push themselves beyond their limits resulting in strain and susceptibility to burnout. We develop a framework to understand this “double edged” role of meaningful work by drawing from ideological psychological contracts (iPCs), which are characterized by employees and their employer who are working to contribute to a shared ideology or set of values. Limited iPC research has demonstrated employees may actually work harder in response to an iPC breach. In light of these counterintuitive findings, we propose the following conceptual model to theoretically connect our understanding of iPCs, perceptions of breach, increases in work effort, and the potential “dark side” of repeated occurrences of iPC breach. We argue that time plays a central role in the unfolding process of employees’ reactions to iPC breach over time. Further, we propose how perceptions of iPC breach relate to strain and, eventually, burnout. This model contributes to our understanding of the role of time in iPC development and maintenance, expands our exploration of ideology in the PC literature, and provides a framework to understanding why certain occupations are more susceptible to instances of strain and burnout. This framework has the potential to guide future employment interventions in ideology-infused organizations to help mitigate negative employee outcomes.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".