Perspectives on perceived workplace age discrimination and engagement: The moderating role of emotion regulation
Bibliographic record
Abstract
Engaging workers with their work is fundamental for employee wellbeing and performance. Perceived age discrimination in the workplace is a factor that may influence workers’ engagement. The present study aimed to analyze the moderating role of emotion regulation in the relationship between perceived age discrimination and work engagement. Survey data were collected from a sample of 453 Portuguese workers of various age groups, between 18 and 65 years-old. Four instruments were used in this study: (a) a sociodemographic questionnaire; (b) the Workplace Age Discrimination Scale (WADS); (c) the Emotion Regulation Scale and (d) the reduced version of the Utrecht Work Engagement Scale (UWES-9). Results show that perceived workplace age discrimination negatively impacts work engagement. Further, results suggest that emotional regulation exacerbates the negative relationship between perceived age discrimination and work engagement. The progressively aging workforce is creating challenging issues to organizations, from a human resource management perspective. Age management strategies to address perceived age discrimination and work engagement are needed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".