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Record W28221567 · doi:10.3138/cjfs.20.2.133

Abandoned Images: Film and Film’s End

2011· article· en· W28221567 on OpenAlexaffvenue
Kelsey M. Haas

Bibliographic record

VenueCanadian Journal of Film Studies · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsMovie theaterContext (archaeology)MainstreamArtFilm studiesVisual artsDowntownAppealArchitectureReading (process)Art historyMedia studiesHistorySociologyArchaeologyLawPolitical science

Abstract

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ABANDONED IMAGES: FILM AND FILM'S END By Stephen Barber. London: Reaktion Books, 2010, 185 pp. Reviewed by Kelsey Haas Stephen Barber's new book, Abandoned Images: and Film's examines abandonment of film (celluloid) in context of proliferation of digital cinema technologies and considers implications of this historically. Barber contributes to ongoing debates about end of film by reading shift away from celluloid technologies through architecture of defunct movie palaces in downtown Los Angeles. Abandoned Images focuses on the Broadway avenue of twelve ruined cinemas, once granthose and excessive, now derelict but intact, in downtown Los Angeles, which offer their extraordinary facades and interiors as screens for exploration of film's end. He also theorizes about state of cinema and spectatorial experience throughout cinema history. The scope of Abandoned Images is wide-ranging, as Barber elegantly structures his book to not only read architecture of abandoned Los Angeles theatres in depth but also perform brief textual analyses of film sequences from mainstream, art and experimental cinema in order to apply his insights to global viewing culture. Abandoned Images will appeal to readers interested in cinematic space and relationships between film and digital media. The book is divided into four parts, each addressing Barber's central topic using a slightly different methodology. In first part, entitled Film and End, Barber discusses various film theorists and cultural historians who explore issue of end of film, arguing that Filmic history can now only exist in fragments, since its amalgamation with digital has irreparably scrambled its resolution. This section of book also sets up its main underlying concern: trauma. Using David Lynch's Mulholland Dr. (2001) as his main case study, Barber analyses Club Silencio sequence- which takes place in abandoned Tower Cinema - to suggest that experience of cinema is one tied to darkness and death. For Barber, film is a self-destructive medium and this argument sets a cynical tone throughout most of book, even when he sees potential for filmic reinvention within a digital context. In second part of Abandoned Images, Barber reads disintegrating movie palaces as palimpsests, addressing question of what happens to cinematic space when its granthose aura is demolished. Turning to film images, he argues that cinema is a medium ideally suited to issues of memory, history, and death, as film images are often complicit with their own decay. Through all this discussion of death and decay of film and cinematic spaces, Barber also argues that these remaining traces of film can also instigate new visual forms as filmmakers work to keep medium alive through self-reflexive use of celluloid. The third part of Abandoned Images focuses on relationship between film and human eye by examining impact of film on spectators as well as films which, in various ways, play with representation of eyes. In both discussions, Barber's focus is on idea of wounding and trauma of eyes by or in film. His arguments here tend to wander, jumping from textual analysis of films to a metaphorical analysis of architecture, and yield mixed results. However, Barber's later discussion of relationship between cinematic viewing and opulent visual spaces of movie palaces in same chapter is engaging and insightful. He argues that ornate architecture of movie palaces at their peak were visually distracting for spectator. However, he also argues that potential for celluloid to break apart mid-projection (particularly during all-night projections of exploitation or pornographic films in unmaintained movie palaces) or combust (in case of nitrate film stocks) encourages focussed vision of cinematic spectator. …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.967

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.224
Teacher spread0.153 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2011
Admission routes2
Has abstractyes

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