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Record W4407875839 · doi:10.5771/9780810876576

Cinema Inferno

2010· book· en· W4407875839 on OpenAlexaboutno aff

Bibliographic record

VenueRowman & Littlefield Publishers eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterArtArt history

Abstract

fetched live from OpenAlex

Cinema Inferno: Celluloid Explosions from the Cultural Margins addresses significant areas (and eras) of "transgressive" filmmaking, including many subgenres and styles that have not yet received much critical attention. This collection of essays covers both contemporary films and those produced in the last 50 years to provide a theoretical framework for looking at transgressive cinema and what that means. This volume begins with a number of essays that examine the aesthetic of "realism," tracing it through the late Italian Neo-Realism of Pasolini, the early films of Melvin Van Peebles, and Canadian filmmaker Guy Maddin. Another section focuses on '70s Italian horror and thrillers, including a substantially different examination of filmmaker Dario Argento, as well as essays on critically underrepresented directors Lucio Fulci and Sergio Martino. A section on New York looks at both radical independents like Troma and Andy Milligan, as well as the social context from which a view of the metropolis-in-decay emerged. Sections also cover the experimental work of the Vienna Action Group and controversial filmmaker Michael Haneke, as well as films and genres too idiosyncratic and disturbing to fit anywhere else, including analyses of Nazi propaganda films, fundamentalist Christian "scare" movies, and postwar Japanese youth films. The final essays try to come to terms with a mainstream flirtation with "transgressive" film and Grindhouse aesthetics.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.258
Teacher spread0.242 · 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
GenreOther

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
Published2010
Admission routes1
Has abstractyes

Explore more

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