Impact de la culture organisationnelle sur l'ergomanie
Bibliographic record
Abstract
The main goal of this thesis is to study of the influence of organizational culture on workaholism. Workaholism is an addiction to work that requires working excessively and compulsively. The existing literature on the subject has enabled us to distinguish workaholism leading to burnout from workaholism not leading to burnout. We have developed a typology of workaholics’ profiles which classifies workers along two continuums: the vertical axis represents the degree of workaholism (we will here contrast individuals showing no sign of addiction to highly addicted individuals). The horizontal axis provides information on the degree of burnout. It leads to four groups of workers: relaxed workers, tired workers, non-toxic workaholics and toxic workaholics. The data comes from the SALVEO study conducted in Canada by the Équipe de Recherche sur le Travail et la Santé Mentale (ERTSM). The data was collected between 2009 and 2012 in 63 workplaces with a response rate of 71.3%, equivalent to 2,162 employees. First, performed descriptive analyzes of our population in order to know the fundamental characteristics of the entire SALVEO sample. Then, we performed bivariate analyzes to determine the absence or presence of a significant linear relationship between the variables. We have then performed multivariate analyzes of our variables in order to obtain the net effects of our variables on the workaholic profil. These have shown that rational culture associates positively with workers with toxic workaholism and, conversely, group culture associates negatively with workers with toxic workaholism.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".