PSYCHOLOGICAL WELL-BEING AND PSYCHOLOGICAL DISTRESS FOR PROFESSORS IN BRAZIL AND CANADA
Bibliographic record
Abstract
Mental health, an important object of research in psychology as well as social psychology, can be determined by the relationship between psychological well-being and psychological distress. In this context, we search to understand: “How do compare mental health of professors working in public universities in an emerging country like Brazil with the one of professors working in a developed country like Canada?” and “What are the main differences in the indicators of mental health in work domain?”. This paper assesses psychological well-being and psychological distress for professors working in these two countries and test for their differences. The sample consists of 354 Brazilian professors and 317 Canadian professors. Data were collected through an on-line questionnaire assessing the following mental health indicators: anxiety, depression, loss of control, general positive affect and emotional ties. We compared the components of psychological distress and psychological well-being to analyse their relations. Additionally, we compared these components with work-life balance indicator. Reliability analyses demonstrated that all tested components are consistent to evaluate mental health. There are small mean differences between Brazilian and Canadian professors in all five components of mental health, but these differences are not statistically significant. Mean differences for work-life balance, gender, age, and bias of conformity are statistically different, although the size effects are small. Linear regression analysis, step by step, controlled for life events, showed that general positive affect, anxiety and emotional ties predict 31.5% of the scores of work-life balance. Additionally, we observed that Brazilian professors find more balance between professional and private life than do their Canadian colleagues. Promoting mental health is a challenge for public management sector, thus, public managers and governmental organizations can beneficiate from the studies of social psychology to improve work performance and the quality of the services offered to the society as well as to assist employees to improve their personal and professional life.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".