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Record W181976732

Narcissistic Fraud in the Ancient World: Lucian's Account of Alexander of Abonuteichos and the Cult of Glycon

2007· article· en· W181976732 on OpenAlexaboutno aff
Stephen A. Kent

Bibliographic record

VenueAncient Narrative · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsCultParallelsGnosticismArgument (complex analysis)BuddhismHinduismReligious studiesPhilosophyLiteratureClassicsHistorySociologyArtTheology
DOInot available

Abstract

fetched live from OpenAlex

Based upon Lucian of Samosata's account of Alexander of Abonuteichos, who is the founder of the Glycon cult in second century Asia Minor, I argue that Alexander likely is a malignant narcissist. I construct this argument by summarizing Alexander's behaviours, and then showing how those behaviours seemingly relate to modern psychiatric descriptions of narcissists. As such, Alexander's behaviours have parallels with several modern cult leaders. Moreover, Alexander's attempts to kill his critics suggests that he is a particular type of narcissist-a malignant narcissist-making him a dangerous and vengeful personality. Stephen A. Kent, PhD, is a Professor of Sociology and Adjunct Professor of Religious Studies, University of Alberta (Canada), specializing in the study of ‘cults' and alternative religions. He has published articles in numerous sociology and religious studies journals on a variety of topics, including Valentinian Gnosticism, ancient Hindu philosophy, Mahayana Buddhism, Puritanism, Quakerism, fundamentalist Mormon polygamy, and new religions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.027
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0040.005
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 head0.028
GPT teacher head0.357
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2007
Admission routes1
Has abstractyes

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