A Critical Analysis of the Conceptualization and Measurement of Organizational Justice: Is It Time for Reassessment?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper provides a historical review of the conceptualization and measurement of organizational justice. We demonstrate how, over time, a dominant norm for conceptualizing and measuring justice has emerged. We posit that although consistent conceptualization and measurement across justice studies can enable the accumulation of knowledge, if the dominant approach is incomplete, this can impede the accumulation of knowledge and risk construct reification. We suggest that these risks are high given that (a) contemporary approaches to measuring fairness perceptions fail to capture the full domain of organizational justice as it was initially conceptualized by early scholars; (b) despite a foundation of “classic” theories, our field has yet to systematically map the justice domain; and (c) the normative operationalizations of organizational justice are based on observations that predate the 21st century workplace. We offer suggestions for future research and new approaches to assessing workplace fairness. Our paper’s goal, ultimately, is to reconsider how justice is conceptualized and measured so that the findings obtained from future empirical justice studies can go beyond the constraints of the current paradigm.
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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 | 0.000 |
| 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