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Record W4387894376 · doi:10.1080/01639625.2023.2271627

Workplace Deviance Investigations: A Case Study of the Application of Maturity Model to a University Investigation

2023· article· en· W4387894376 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDeviant Behavior · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDeviance (statistics)AuditMaturity (psychological)Criminal justiceContradictionWork (physics)Public relationsCriminologyAccountingSociologyPsychologyBusinessPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

This article presents a case study from Norway that supplements previous research in other jurisdictions such as Australia, Canada, the Netherlands, and the United Kingdom regarding lack of justice when corporate investigators conduct internal examinations in client organizations. The case is concerned with a university researcher who was investigated after allegations of violating the national working environment act. Investigators applied likelihood of fifty percent rather than the criteria of incident beyond any reasonable doubt. There was no real contradiction offered, and many more deviance from a fair process occurred when compared to the public criminal justice system. The presented maturity model with four stages is applied to illustrate the low level of investigative performance in the case. This research does not in any way claim that the presented case is representative of work by corporate investigators conducting internal examinations in client organizations. Nevertheless, this research is important, as it illustrates the lack of justice that is caused by the absence of regulation of the private investigation industry as performed by law firms, audit firms, consulting firms, and others.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.067
GPT teacher head0.274
Teacher spread0.207 · 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