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Record W1980975323 · doi:10.3138/jrpc.22.1.001

Religion, Sexuality and the Image of the Other in <i>300</i>

2010· article· en· W1980975323 on OpenAlexvenueno aff
Lena Roos

Bibliographic record

VenueJournal of Religion and Popular Culture · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
Fundersnot available
KeywordsGreeksHuman sexualitySpartanMainstreamPerversionBattleElement (criminal law)Gender studiesHistoryLiteratureSociologyArtAestheticsLawAncient historyPolitical science

Abstract

fetched live from OpenAlex

The graphic novel and the film 300 retell the battle between Greeks and Persians at Thermopylae in 480 BCE. The heroes of the story are 300 Spartan warriors. This article analyses how the readers/viewers are moved to identify with the Spartan warriors, and to feel repelled by their opponents. This is achieved by portraying the Spartans as the defenders of reason and justice, and of the freedom of not just Greece but all of Europe against “the armies of all Asia.” Their normalcy is underscored by portraying their sexuality in accordance with mainstream, heteronormative Western values. Their opponents, the Persians, the Spartan priests, and the Spartan traitors, are portrayed as monstrous, superstitious, and sexually perverted. This emphasis on the connection between religion and sexual perversion stands out as the most important element which the creators of 300 have added to the story, as compared to the classical sources.

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.015
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

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