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Record W3208533526 · doi:10.3366/film.2021.0177

Sisyphean Unproductivity in Narrative Film

2021· article· en· W3208533526 on OpenAlexaff
Juan Velasquez

Bibliographic record

VenueFilm-Philosophy · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMovie theaterNarrativeIdeologyAestheticsSociologyHEROProductivityGender studiesLiteratureArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article examines the relationship between labour, productivity and film. The purpose of this intervention is to suggest that narrative film can show us the unproductive tendencies that humans carry within them but that cannot always make themselves known. These leisurely desires erupt as musicality, ecstasy, and the undoing of the self when we carry out the repetitive gestures of work. This article compares Camus's freedom and Georges Bataille's sovereignty as they share an interest in anti-futurity and anti-productivity and it uses these concepts to propose worker's ecstatic escapes from labour as Sisyphean unproductivity. Using this theoretical framework, I carry out a comparative and formal analysis of Sisyphus (Marcell Jankovics, 1974), Modern Times (Charles Chaplin, 1936), The Apartment (Billy Wilder,1960) , Saut ma ville (Chantal Akerman, 1971) and Dancer in the Dark (Lars von Trier, 2000). While the field of film studies has highlighted the role of cinema as a tool for propagating ideologies of productivity, the scenes examined suggest that film also has a history of subverting ideologies of productivity through repetitive, Sisyphean unproductivity. By updating the plight of the Greek hero to 20thand 21stcentury capitalism, these directors uncover a fundamental, yet impossible, human desire for non-productive activities This re-centering of the unproductive could be useful in future academic re-categorizations of the working class through its desires to not work, that is, it provides preliminary materials for understanding class identities through their deformation, and not just their formation.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.017
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.232
Teacher spread0.189 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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