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Record W2970546826 · doi:10.15353/kinema.vi.1178

Cinema and Visual Studies in the Digital Era Blue

2008· article· en· W2970546826 on OpenAlexvenueno aff
Asbjørn Grønstad

Bibliographic record

VenueKinema A Journal for Film and Audiovisual Media · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterMerge (version control)The artsDigital mediaVisual artsArtMedia studiesSociologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

'NO ONE GOES TO THE MOVIES ANYMORE:'(1) CINEMA AND VISUAL STUDIES IN THE DIGITAL ERA BLUE WITHIN the variegated domain of media studies, convergence seems to be one of the buzzwords of the day. Forms that were previously discrete entities merge into new constellations, in the process uprooting the entire ecosystem of the media. Business conglomerates merge, on the cultural horizon new technologies continuously emerge, and the different artistic practices flow seamlessly into each other to produce works that are thoroughly hybrid and transaesthetic. The landscape of the arts and the media already looks radically different from what it did less than a decade ago. Coinciding with all these changes is another and – in Europe, at least – perhaps less heralded kind of convergence, which is first and foremost institutional and disciplinary in nature. This is the relatively recent appearance of the field of visual studies, also...

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)0.001
metaresearch head score (Gemma)0.004
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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0080.005
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.082
GPT teacher head0.306
Teacher spread0.224 · 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
Published2008
Admission routes1
Has abstractyes

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