The Workaholism Chronicles: Unveiling Workaholism’s Influence Across Diverse Organizational Contexts
Bibliographic record
Abstract
Attention to workaholism has grown significantly in both research and the popular press. Workaholism has been linked to negative individual, organizational, and interpersonal outcomes. Recent research has sought to refine the conceptualization and measurement of workaholism. To further our understanding, the current symposium presents workaholism in multiple different organizational contexts: family businesses, leader – subordinate relationships, and within teams. Expert discussants will share practical and research implications as well as future research directions. When Business is Personal: A Mixed Methods Examination of Workaholism in Family Business Author: Malissa Amy Clark; U. of Georgia Author: Jenell Lynn-Senter Wittmer; U. of Toledo Author: Angie Jones; U. of Toledo Subordinate Perspectives on Daily Leader Workaholism: Unraveling Cognitive and Behavioral Responses Author: Sang-Hoon Lee; Loyola Marymount U. Author: Sunjin Pak; California State U., Bakersfield Author: Yaqing He; U. of Illinois at Urbana-Champaign Author: Amit Kramer; U. of Illinois Urbana-Champaign Cross-level Impact of Teams' Workaholism on Individuals' Well-being and Turnover Author: Kent Alipour; East Carolina U. Author: Shahnaz Aziz; East Carolina U. Author: Laura Madden; East Carolina U. Author: Timothy M. Madden; East Carolina U. Author: Adam Tresidder; East Carolina U.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".