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Record W2792952238 · doi:10.3138/utq.87.1.249

This Is My Becoming: Transformation, Hybridity, and the Monstrous in NBC's <i>Hannibal</i>

2018· article· en· W2792952238 on OpenAlexvenueno aff
Jaquelin Elliott

Bibliographic record

VenueUniversity of Toronto Quarterly · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPostmodernismQueerMonsterCultNarrativeContext (archaeology)LiteratureFandomHybridityAestheticsSubversionSociologyQueer theoryArtHistoryGender studiesLawPoliticsPolitical science

Abstract

fetched live from OpenAlex

This article will interrogate the postmodern desire for a reclamation of queer monstrosity by examining Hannibal, the National Broadcasting Company's adaptation of Thomas Harris's Hannibal Lecter series, a recent television show that deals explicitly with queerness and evil and found critical success and a cult online fandom. Holding in mind that show runner Bryan Fuller himself referred to the show as a “werewolf story,” this article will examine the ways in which the show uses the traditional trappings of werewolf narratives to craft a monster narrative that is both thoroughly postmodern and canonically queer. It will also examine the show as a transformational adaptation and look at Will Graham not only as a literal hybrid figure but also as a meta-textual one. Accordingly, this article will also analyze the show's fanatical fan following in the context of the reclamation of queer monstrosity and postmodern gothicism.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.812

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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 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
Published2018
Admission routes1
Has abstractyes

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