Managerial responsibility as negotiated order: a social construction perspective
Bibliographic record
Abstract
This article examines how employees form their perceptions of managerial responsibility in a concrete organizational setting. Drawing on negotiated order theory, it shows that these perceptions are the result of complex processes of social construction and negotiation, rather than the application of predetermined ethics models or norms. Employees' perceptions appear to be unstable; they are subject to constant alterations, fluctuating with the organizational circumstances, and are likely to create considerable organizational perturbations, especially when managers make complex and ambiguous decisions. This process is illustrated through an ethnographic study that analyzed the evolution of employee perceptions during a three-year crisis-one that led managers to repeatedly postpone salary payments to save jobs. The process approach adopted by the study highlights important dynamics that traditional business ethics approaches overlook, such as the fragility of the construct of managerial responsibility, which cannot be coherent unless it is constantly renegotiated among an organization's various employee groups.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.065 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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".