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Record W4306725211 · doi:10.31542/muse.v6i1.2286

"Man is driven in total by his insecurities": Tony Soprano's Castration

2022· article· en· W4306725211 on OpenAlexaffvenue
Kairo Martens

Bibliographic record

VenueMacEwan University Student eJournal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsMacEwan University
Fundersnot available
KeywordsFreudian slipPsychoanalysisPsychoanalytic theoryDramaNarrativePortraitUnconscious mindPower (physics)SociologyPsychologyLiteratureHistoryArtArt history

Abstract

fetched live from OpenAlex

HBO’s massively successful and influential crime drama series The Sopranos helped to usher in a new wave of complex, boundary-pushing narratives by confronting audiences with a fresh and subversive portrait of crime, family, and the legacy of Freud in American culture at the turn of the 21st century. The series centers around the daily life of mobster Tony Soprano as he navigates the challenges posed to his business by the RICO Act, to his family and marriage by his double life, and to his mental health by his deteriorating sense of power and identity. Previous analyses of the series have recognized that Freudian psychoanalysis is a major theme in the series as Tony visits psychiatrist Dr. Jennifer Melfi to find the root causes of his depression and anxiety, but few have produced psychoanalytic readings of the series itself. Through a scene-by-scene analysis of the series pilot through a Freudian lens, this essay examines how the characterization of Tony (and others) engages with the Freudian themes of castration anxiety and the Oedipus complex in a self-conscious manner and comes to the conclusion that Tony’s neurosis is driven by an unconscious resentment of his mother.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.014
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.271
Teacher spread0.259 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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