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Record W4392293156 · doi:10.1177/10564926241232319

A Relational Construction of Organizational Risk: Normalizing Versus Problematizing Through Risk Work on Concerns Versus Measures

2024· article· en· W4392293156 on OpenAlexafffund
Çağrı Topal, Robert P. Gephart

Bibliographic record

VenueJournal of Management Inquiry · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOpposition (politics)Construct (python library)Risk managementSociologyWork (physics)Public relationsSocial psychologyPsychologyPolitical scienceManagementEconomicsComputer scienceEngineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.138
GPT teacher head0.360
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

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