Interactive effects of absence culture salience and group cohesiveness: A multi‐level and cross‐level analysis of work absenteeism in the Chinese context
Bibliographic record
Abstract
This study examined the interactive effects of group cohesiveness and absence culture salience on absence proposed by Johns and Nicholson (1982). It was hypothesized that group cohesiveness and absence culture salience would be negatively related to work‐group absence. Emphasis was placed on the interactive effects of cohesiveness and cultural salience on work‐group absence rate and employee self‐reported absence. In addition, the potential mediating effect of group absence norms was explored. Survey responses were collected from 800 employees in a state‐owned manufacturing enterprise in the People's Republic of China. Aggregate measures of salience and cohesiveness each had a negative relationship with work‐group absenteeism. Consistent support for the interactive effects of cohesiveness and salience was provided by group, individual, and cross‐level analyses. Group absence norms mediated the effects of cohesiveness, cultural salience, and their interaction on self‐reported absenteeism.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".