The Responses of Male and Female Managers to Workplace Stress and Downsizing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As part of a longitudinal study examining the impact of downsizing on worker health, we interviewed managers and employees to identify possible questions for a data collection survey. This paper presents observation summaries of qualitative interviews with 19 managers from a large manufacturing organization. Participants were asked semi-structured questions on health behaviors, stress coping strategies, alcohol and substance use, job stress, and work overload with latitude to digress as different issues emerged. Responses from female managers and male managers revealed differences in judgments about work motivators, stressors, and coping strategies. For example, female managers displayed a greater tendency to use alcohol as a coping mechanism in response to stressful conditions. Gender differences also emerged regarding impressions of the treatment of women in the workplace. Men viewed relationships between genders as significantly improved from ten to twenty years ago. Women noted improvements over the same time frame, but gave numerous examples where men continue to dismiss the contributions of female workers. Insight into motivations underlying commonly identified stressors and coping methods for both women and men offers direction for future data collection efforts. [ABSTRACT FROM AUTHOR]
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.
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 | 0.002 | 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 it