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Administrative Psychopathy

2023· book-chapter· en· W4321369768 on OpenAlexaff
Jason Walker, Deborah Circo, DaLissa Alzner

Bibliographic record

VenueAdvances in human resources management and organizational development book series · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsYorkville UniversityUniversity Canada West
Fundersnot available
KeywordsPsychopathyPhenomenonIncivilityWorkplace bullyingPsychologyContext (archaeology)PsychopathologySocial psychologyClinical psychologyPersonalityGeography

Abstract

fetched live from OpenAlex

The phenomenon of incivility and workplace bullying across industries worldwide is pervasive and harms individuals and the organization. It is well researched that the impact on targets of incivility and bullying behaviour is damaging, is often severe, and results in negative consequences for the targets and the organization. Furthermore, within the context of the dark triad, workplace bullies engage in varying levels of psychopathy to the detriment of the target. This chapter is designed to provide readers with a breadth and depth of knowledge related to the prevalence of the bullying phenomenon, predictors of bullying behaviour, psychopathology of the bully, and the psychological impact on targets.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

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