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Record W2007121949 · doi:10.2478/ausfm-2014-0001

Revisiting Michael Snow’s Wavelength, after Deleuze’s Time-Image

2013· article· en· W2007121949 on OpenAlexaff
Jacob Potempski

Bibliographic record

VenueActa Universitatis Sapientiae Film and Media Studies · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsMovie theaterNarrativeConsciousnessSubject (documents)Phenomenology (philosophy)IdeologyArt historyArtLiteraturePhilosophyPoliticsEpistemologyComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract Michael Snow’s Wavelength (1967) is one of the most written about avant-garde films. It has served as “a blue screen in front of which a range of ideological and intellectual dramas have been played out,” as Elizabeth Legge put it in a book-length study of the film, whose recent publication testifies to the continuing relevance of the film (Legge 2009). This paper takes Annette Michelson’s article, Toward Snow, one of the first and most often cited encounters with Snow’s cinema, as its point of departure (Michelson 1978). Michelson sees the film as a reflection which reveals the cinema as a temporal narrative medium. Drawing on Husserl’s phenomenology of time-consciousness, she argues that this reflection on the medium is at the same time a reflection on the structures of consciousness. However, the paper also draws on the work of Gilles Deleuze, whose two-volume study of the cinema has opened up new possibilities for thinking about time and the cinema (Deleuze 1983, 1985). The paper is not an interpretation of Deleuze. It appropriates and puts to work his idea that the cinema is not essentially a narrative medium; but a medium that disrupts linear time, making visible a non-chronological dimension of time, which fragments the subject and exposes it to liminal situations. Wavelength, I argue, reverses the flow of time, to make visible an abyss at the heart of time, which shatters the unity of the subject

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)0.001
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: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
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)0.0010.001

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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

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