No Pain, No Gain: Novel Insights into a Spectrum of Wellbeing Across Vulnerable Work Experiences
Bibliographic record
Abstract
This symposium presents a series of novel insights into a spectrum of employee wellbeing experiences across a variety of understudied contexts. Using both qualitative and quantitative methods, these presentations highlight the unique challenges of farming occupations, music performance professions, the employee medical leave process, and the experience of working with colleagues who are recipients of partner violence. Our papers highlight a range of health outcomes, from the positive effects of stress habituation to the negative impacts of nonwork spillover from coworkers. Our papers also highlight how both positive and negative wellbeing experiences (such as passion and burnout) are often intertwined and embedded within certain professions. Together, these presentations offer both a glimpse into unique populations as well as a high-level perspective of the range of mental health & wellbeing experiences for modern workers. Stress Habituation & Status in Male Professionals: A Testosterone and Cortisol Study Author: Lieke Laura Ten Brummelhuis; Simon Fraser U. Author: Mariana Toniolo-Barrios; Simon Fraser U. Work that Drives and Drains: The Fluidity of Mental Health & Engagement with Strong Occupational Identity Author: Devin Johnson Rapp; U. of Utah, David Eccles School of Business Author: Robert Monnot; U. of Utah, David Eccles School of Business When Passion Meets Unfulfilled Expectations: Predicting Burnout Among Professional Musicians Author: Alexandra Lefcoe; DeGroote School of Business, McMaster U. Author: Catherine Connelly; McMaster U. Author: Laura Venz; Leuphana U. Lüneburg Author: George Elchuk; McMaster U. Author: Andrew Scott; Humber College Medical Leaves of Absence: How Individuals and Organizations Respond to Leave-Related Suffering Author: Liza Yasemin Barnes; Drexel U. Potential Drawbacks of Connection at Work: An Evaluation on Coworker’s Mental Health Author: Jessica Mariah Rivin; San Diego State U., Fowler College of Business Author: Russell Cropanzano; U. of Colorado, Boulder Author: Rick Reed; PhD Student at U. of Colorado, Boulder Author: Phoenix Van Wagoner; California State U., Fullerton
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".