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Record W4395019632 · doi:10.7202/1109849ar

An Inquiry into Self-Deception: Memento, Truth-Display, and the Detective Genre

2023· article· fr· W4395019632 on OpenAlexaffvenue
Juliette Leblanc

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDeceptionSelf-deceptionPsychologyArtDetective fictionAestheticsArt historySocial psychology

Abstract

fetched live from OpenAlex

This article proposes to analyze the concept of self-deception in Christopher Nolan’s psycho-thriller film Memento (2000). Approached through the study of the senses and through a philosophical-semiological lense, the willing self-deception of the protagonist and misleading appearances central to the film’s narrative structure provoke an inquiry into the mechanics of truth and visual displacement. The protagonist’s memory-system sustains deceptiveness, which in turn allows one to conceptualize the structure of the story as a metanarrative of the detective genre.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0050.012
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.327
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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