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Record W4386379500 · doi:10.33423/jabe.v25i4.6344

Unmasking Obsessive Compulsive Behaviors in Leaders – A Dark Side of Leadership

2023· article· en· W4386379500 on OpenAlexvenueno aff
Debra Y. Hunter

Bibliographic record

VenueJournal of Applied Business and Economics · 2023
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsFollowershipPsychologyPersonality psychologyAnxietySocial psychologyPersonalityGreat RiftProductivityScope (computer science)Psychiatry

Abstract

fetched live from OpenAlex

Individuals in the workplace interact with peer constituents displaying various personality behaviors that influence productive workplace relationships. Sometimes, the darker side of leadership is masked and camouflages disturbing personality behaviors. Leaders are no exception to the array of personalities hindering productive follower relationships. Obsessive-compulsive disorder (OCD) is an anxiety disorder characterized by recurrent, obsessive thoughts and compulsive behaviors. Obsessive-compulsive disorders (OCD) in leaders manifest themselves in a variety of ways and have the potential to deter satisfactory relationships with followers. Subordinates are subjected to higher instances of employee surveillance, matriculate attention to detail, extraordinary communication and feedback, repetitive reprimands, and fear tactics to motivate desired behavior. Although these practices are within management scope, manifestations of OCD leader tendencies and their effect on followership cannot be ignored. As the level of anxiety in Americans continues to increase, organizations may observe higher instances of OCD-related behaviors in leaders. This paper addresses OCD behaviors in leaders and its effect on followership and productivity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.043
GPT teacher head0.284
Teacher spread0.241 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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