How and When Can Employees with Status Motivation Attain Their Status in a Team? The Roles of Ingratiation, OCBI, and Procedural Justice Climate
Bibliographic record
Abstract
Despite research having identified two major routes to status: dominance and competence, both routes seem inadequate to capture the “whole picture” of how people get ahead in organizations. Building on social exchange theory and social status literature, we identify two novel paths and their important boundary conditions by which employees with status motivation can achieve status. Specifically, we propose that employees with status motivation obtain status (operationalized as other-perceived status and promotability) by engaging in ingratiation toward their supervisors and organizational citizenship behavior directed toward individuals. In addition, these relationships are weakened in teams where the procedural justice climate is high. Results from four studies conducted in China and the United States, which consist of three experiments (Study 1: N = 240; Study 2: N = 180; Study 4: N = 309) and one field study of 427 employees from 74 teams (Study 3), provide support for most of the propositions we proposed. The theoretical and practical implications of these findings are discussed.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".