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Record W3024513948 · doi:10.1177/0950017020902968

‘This Happens All the Time’: Organizations, Rationalization and Ethical Dilemmas in Engineering

2020· article· en· W3024513948 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork Employment and Society · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRationalization (economics)SkepticismMisconductPublic relationsProfessional standardsEngineering ethicsEthical codePublic interestPerspective (graphical)Political scienceSociologyLawEngineeringEpistemology

Abstract

fetched live from OpenAlex

Given their positions of public trust, regulated professions are legally required to uphold ethical standards, and ensure that professional practice protects the public. Nonetheless, there is ample evidence that professionals do not always behave ethically. One proposed solution is greater organizational surveillance; however, research from a neo-Weberian perspective encourages scepticism about such arguments. Organizations may not only fail to stop professionals from violating ethical codes, but rationalizing organizations might actively encourage such violations in the name of efficiency. This article explores the impact of organizations and rationalization on professional misconduct through a mixed-methods study of professional engineers in Ontario, Canada. Findings suggest engineers are impacted by rationalization, and that those with less decision-making authority experience pressures discouraging practice in the public interest.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.340
Teacher spread0.248 · 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