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Record W4376154965 · doi:10.3366/film.2023.0226

The Colour of Film-Philosophy

2023· article· en· W4376154965 on OpenAlexaff
William Brown

Bibliographic record

VenueFilm-Philosophy · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRigourModernityRealmMovie theaterSociologyAestheticsRace (biology)Critical theoryWhite (mutation)EpistemologyConsciousnessCritical race theoryGender studiesPhilosophyArtLiteratureLawPolitical science

Abstract

fetched live from OpenAlex

This article draws upon the work of Sylvia Wynter and W.E.B. Du Bois in order to propose that film-philosophy has historically not paid due attention to race. Drawing upon the former’s concept of “the sociogenic principle”, as well as the latter’s theories of “the colour line” and “double-consciousness”, the article argues that modernity has been constructed coterminously with whiteness, as well as a “photographic/cinematographic” logic whereby Blackness is cast into a “negative” realm. That is, while modernity might be white, more specifically it is antiblack. For film-philosophy ethically to evolve, then, it must not just pursue a dewesternising turn to the global, as suggested by various scholars, but it must also reckon with antiblackness and the role that cinema has played in constructing and reaffirming a white (and therefore antiblack) world. By this token, recent engagements with objects and animals similarly do not often consider race as a structuring concept of and for the human, in distinction to which both objects and animals supposedly exist. Indeed, one might even construe the contemporary emphasis on objects and animals among primarily white western scholars as a refusal to consider race with the critical rigour that it merits. This article goes some way towards introducing such critical rigour as developed among scholars in critical race theory, in particular Black Studies, especially Du Bois and Wynter; and it proposes that the application of such work to film will radically alter how we consider the medium. In this way, the article draws out the (white) colour of film-philosophy, and argues for a racially conscious/conscientious film-philosophy that will thus be worthy of the name.

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)0.001
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.005

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 head0.053
GPT teacher head0.235
Teacher spread0.183 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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