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Record W2784278847

Identification of Self: The Oppositional Gaze and Black Female Spectatorship in 12 Years a Slave

2018· article· en· W2784278847 on OpenAlexaff
Sara Dhurjon

Bibliographic record

VenueScholarship@Western (Western University) · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsGazeWhite (mutation)Privilege (computing)SubversionIdentity (music)Film theoryAestheticsPleasurePower (physics)Self identificationWhite privilegeIdentification (biology)Male gazeArtMovie theaterSociologyVisual artsGender studiesPsychologyRace (biology)PsychoanalysisLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This essay applies bell hooks’ theory of the oppositional gaze to the 2013 film, 12 Year’s a Slave. I argue that the film subverts traditional power dynamics linked to the experience of visual pleasure through film by shifting responsibilities between black and white audiences. Whereas previously black audiences had to confront degrading depictions of self as a “way in” to film, white audiences instead had the privilege of critiquing film if whiteness was negated, or else not depicted at all. After a brief overview of hooks’ theory of film, it examines the character of Patsey for the ways in which violence imposed on her body necessitate a confrontation with self and identity for audiences of all races, and for the ways it supports the films subversion of traditional ways of looking.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.011
Scholarly communication0.0040.003
Open science0.0000.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.085
GPT teacher head0.277
Teacher spread0.192 · 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 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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