Editorial: Exploring heavy work investment: multidimensional constructs and work outcome variance
Bibliographic record
Abstract
studies (71,625 participants) across 23 countries. With an overall pooled prevalence of 15.2%, the analysis reveals that roughly one in seven employees may be affected by workaholism. Metaregression showed that studies using nationally representative samples reported significantly lower prevalence (around 9.8%), while non-representative samples yielded higher estimates. Triad personality traits (narcissism, Machiavellianism, and psychopathy) interacted with career interests to predict subjective and objective career success among 300 South African professionals. They found that the association between narcissism and higher career success is amplified for individuals with enterprising interests, while Machiavellianism was linked to better success when social interests were high. In contrast, psychopathy showed limited predictive value for career outcomes regardless of interest type. The study situates its findings within personenvironment fit theory, highlighting that Dark Triad traits can be leveraged adaptively depending on one's vocational interests. The authors acknowledge limitations to their study, including crosssectional design and self-report measures, and call for longitudinal and multi-method approaches to clarify causal pathways.
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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 | 0.009 | 0.037 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.015 | 0.020 |
| Insufficient payload (model declined to judge) | 0.011 | 0.008 |
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".