Examining the roles of job involvement and work centrality in predicting organizational citizenship behaviors and job performance
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A recent meta‐analysis by Brown ( 1996 ) concluded that job involvement was unrelated to job performance. The present investigation proposed that the null findings reported in this meta‐analysis stem from the choice of performance criteria and the use of job involvement measures that are confounded with work centrality in the primary studies included in the meta‐analysis. The current study found that job involvement, when assessed with a recently published measure (Paullay et al. , 1994 ), is a significant predictor of supervisor ratings of organizational citizenship behaviors (OCB) and in‐role performance, controlling for work centrality and other individual difference variables. Consistent with recent findings, there is evidence that sex moderates some of the job involvement and OCB relationships, with females having a stronger, positive relationship between these constructs than males. Copyright © 2001 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it