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Record W4280571761 · doi:10.5430/wjel.v12n5p102

Fetishism Reflected in Sam Mendes’s American Beauty

2022· article· en· W4280571761 on OpenAlex
Irwan Sumarsono

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldHealth Professions
TopicFilm in Education and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsFetishismBeautyPleasureCharacter (mathematics)WifeSociologyPsychoanalysisPsychologyAestheticsArtPhilosophyPsychotherapistAnthropologyTheology

Abstract

fetched live from OpenAlex

This study described the fetishism of the main character in Sam Mendes’ American Beauty by using psychoanalytical analysis. The analysis was focused on the fetishism conducted by the main character, Lester. The main data was taken from the work entitled American Beauty, while the supporting ones were derived from some related books, English journals, and other sources on the internet. Data were collected, categorized, and analyzed before they were presented in a discussion. The writer used descriptive-analytic techniques to analyze the collected data, and the analysis was focused on the factors that make Lester become a fetishist and the effects of his fetishism on his life and family. It was found that Lester’s id has the biggest role in causing his fetishism. Lester’s fetishism is controlled mostly by his needs to fulfill his physical and psychological needs. Lester wants to fulfill the sexual pleasure that he cannot get from his wife, Carolyn.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.025
GPT teacher head0.404
Teacher spread0.379 · 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