Effects of an absenteeism feedback intervention on employee absence behavior†
Bibliographic record
Abstract
Abstract The purpose of this study was to test the effects of an Absenteeism Feedback Intervention (AFI) on employee absenteeism. Three hundred and seventy‐one employees working in 14 experimental and 13 control groups in a medium sized hospital participated in the study. Employees working in the experimental groups received absenteeism feedback at three time periods that provided them with information about their own number of absent days and episodes (sequential days counted as a single absence episode) as well as the average of their work and occupational group. Comparisons of absent days and episodes between the AFI and control groups indicate some support for the effectiveness of the intervention. In particular, there was a reduction in absent days and episodes for employees with higher than average absenteeism during the previous year but who were not extreme offenders. The research and practical implications of the AFI for reducing employee absenteeism are discussed. Copyright © 2001 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
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 | 0.001 |
| 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 teacher head, 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".