Perceived organizational membership and the retention of older workers
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Drawing on the perceived organizational membership theoretical framework and the group‐value justice model, we developed and tested a model predicting older workers' intention to remain with their organization. We hypothesized that human resource practices targeted to older workers would be related to perceived insider status through how older workers perceived their supervisor managed these practices (perceived procedural and interpersonal justice). We also hypothesized that perceived insider status would mediate the relationship between perceived contribution and intention to remain. We conducted two studies to test the hypothesized model. Study 1 participants ( N = 236) were a diverse group of older workers and Study 2 participants ( N = 420) were older registered nurses. Using structural equation modeling, we found support for the hypothesized model. All of the hypothesized relationships were significant in Study 2 and all except one were significant in Study 1. Older workers will want to remain a member of their organization when their organization engages in practices tailored to the needs of older workers, their supervisor implements these practices fairly, and their organization conveys that it values the contribution of its older workers thereby fostering a strong sense of belonging. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it