MétaCan
Menu
Back to cohort
Record W4315644218 · doi:10.3366/film.2023.0219

White Material: Ivory tiles, white womanhood, and white supremacy in Jean-Marc Vallée’s <i>Sharp Objects</i>

2023· article· en· W4315644218 on OpenAlexaff
Emily Sanders

Bibliographic record

VenueFilm-Philosophy · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsQueen's University
Fundersnot available
KeywordsWhite supremacyWhite (mutation)Object (grammar)Agency (philosophy)ArtSociologyArt historyGender studiesPhilosophyRacismSocial scienceLinguistics

Abstract

fetched live from OpenAlex

Jean-Marc Vallée’s HBO miniseries, Sharp Objects (2018), follows Camille Preaker (Amy Adams) as she returns to her childhood home in Wind Gap, Missouri, to investigate the murders of two young girls. This article explores a specific type of object related to the systems of violence that reveal themselves over the course of the miniseries: ivory tiles. Here, the ivory tiles affixed to the floor of Camille’s mother’s, Adora Crellin’s (Patricia Clarkson), master bedroom both reveal and influence sinister behaviours of the household’s women. In employing concepts inspired from Thing Theory and Object-Oriented Ontology, as well as critical theory, this article examines how the ivory tiles possess multilayered excesses that constitute an object’s thingness. The foremost excess that informs the ivory tiles’ thingness, I contend, is its relationship to white supremacy. It is not only the tiles’ material history that informs its relationship to white supremacy, but how, through outlining the forms of agency things possess under Thing Theory, the tiles are able to reveal the forms of violence that are structured within the domestic sphere of the Crellin home. A product of violence, the ivory tiles as things speak back to the design of white supremacy.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.238
Teacher spread0.200 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFilm-PhilosophySame topicArt, Politics, and ModernismFrench-language works237,207