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Record W4376155116 · doi:10.3366/film.2023.0229

Documentary Fictions: Jacques Rancière and the Problem of Indexical Media

2023· article· en· W4376155116 on OpenAlexaff
Konstantinos Koutras

Bibliographic record

VenueFilm-Philosophy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Political Philosophy
Canadian institutionsNSCAD University
Fundersnot available
KeywordsIndexicalityFraming (construction)CLARITYAestheticsPhilosophyArgument (complex analysis)EpistemologySociologyHistory

Abstract

fetched live from OpenAlex

The indexicality of film and sound recordings remains an unresolved problem in contemporary documentary theory. The prevailing conceptualisation of the documentary assigns it the status of a sober discourse, a framing in which history is modelled as absent cause and the unqualified distinction between fiction and non-fiction is considered sacrosanct. The denotative literalism characteristic of indexical media, however, confounds this conceptualisation, which in turn encourages the devaluing of documentary aesthetics; the documentary is not a medium of art, it is said, but of argument. In this article, I examine how philosopher Jacques Rancière offers an alternative account of the documentary grounded on aesthetics rather than sobriety. I show how, in rethinking the absent cause model of history as well as the relationship between fiction and nonfiction, Rancière's aesthetic approach resolves the conceptual problem posed by indexicality and brings clarity to the value and function of indexical media with respect to the documentary.

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)0.003
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.024
Scholarly communication0.0110.012
Open science0.0010.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.316
Teacher spread0.286 · 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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