Exploring Organisational Citizenship Behaviour through the Lens of Age
Bibliographic record
Abstract
This paper sheds light on the mechanisms through which age diversity climate affects employees’ positive attitudes and behaviours. Specifically, the study examines: a) the mediating role of affective commitment in the relationship between age diversity climate and organisational citizenship behaviour, and b) the moderating effect of employees’ focus on future occupational opportunities on the link between age diversity climate and affective commitment. Applying regression analyses to a sample of 326 employees from a multinational pharmaceutical company, we found that affective commitment fully mediates the relationship between perceived age diversity climate and organisational citizenship behaviour. Furthermore, the results revealed that employees’ focus on opportunities is negatively correlated with their chronological age and positively correlated with affective commitment. However, contrary to our hypothesis, employees’ focus on opportunities did not moderate the link between age diversity climate and affective commitment. The results have implications for both theory and practice, suggesting that endeavours to maintain and sustain an inclusive age diversity climate should be regarded as critical.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| 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".