The benefits of bad economies: Business cycles and time-based work–life conflict.
Bibliographic record
Abstract
Recent management research has indicated the importance of family, sleep, and recreation as nonwork activities of employees. Drawing from entrainment theory, we develop an expanded model of work-life conflict to contend that macrolevel business cycles influence the amount of time employees spend on both work and nonwork activities. Focusing solely on working adults, we test this model in a large nationally representative dataset from the Bureau of Labor Statistics that spans an 8-year period, which includes the "Great Recession" from 2007 through 2009. We find that during economic booms, employees work more and therefore spend less time with family, sleeping, and recreating. In contrast, in recessionary economies, employees spend less time working and therefore more time with family, sleeping, and recreating. Thus, we extend the theory on time-based work-to-family conflict, showing that there are potential personal and relational benefits for employees in recessionary economies.
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| 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".