A Relational Construction of Organizational Risk: Normalizing Versus Problematizing Through Risk Work on Concerns Versus Measures
Bibliographic record
Abstract
This study examines a public hearing, in which a company normalizes a high-risk project while a group of residents and landowners problematize it through three types of relational risk work including the construction of concerns versus measures, consultations on concerns and measures, and company approach in addressing concerns with measures. They construct risk meanings in a relational context where they respond to the normalizing and problematizing attempts of one another. Accordingly, this study has two main contributions. First, it identifies three types of risk work used by public and business stakeholders to relationally construct and normalize/problematize risk and risk management and thus analyzes the tension between normalizing and problematizing as an issue of interdependence. Second, it brings forward the opposition between concerns and measures as an important topic for risk research and emphasizes the critical role of risk consultations with cooperative approaches in addressing this opposition.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".