Antecedents of older workers' motives for continuing to work
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this paper is to identify demographic and work‐related antecedents of the motives that influence the decision of older workers to remain in the workforce. Design/methodology/approach A cross‐sectional study was conducted with three groups of respondents aged 50‐70 years: those in their career job ( n =395); those employed in a bridge job ( n =195); and those who were self‐employed ( n =174). Findings In general, the demographic variables (age, gender, marital status) predicted the financial motive for continuing to work whereas the work‐related variables (work centrality, career satisfaction, and perceived contribution/perceived reward of owning one's own business) predicted the work fulfillment and generativity motives. However, the pattern of relationships differed across the three groups of older workers. Research limitations/implications The three groups could not be directly compared because of differences in some of the measures. Only one variable, work centrality, was a significant predictor across all three groups, suggesting that instead of seeking to identify universal antecedents, the focus of future research should be on identifying antecedents specific to different groups of older workers. Practical implications To promote the retention of older workers, policies, practices and programs should be customized to the different needs of career, bridge and self‐employed individuals. Originality/value Little research exists on the antecedents of older workers' motives for continuing to work. Prior research has either not differentiated among older workers or focused solely on one specific group of older workers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it