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Record W2103060212 · doi:10.1002/nvsm.392

Coming soon to a live theater near you: performing arts trailers as paratexts

2010· article· en· W2103060212 on OpenAlexaffabout
Stephen Preece

Bibliographic record

VenueInternational Journal of Nonprofit and Voluntary Sector Marketing · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsParatextPerforming artsThe artsContext (archaeology)Visual artsMultimediaArtEngineeringComputer scienceHistoryLiterature

Abstract

fetched live from OpenAlex

Abstract Dramatic changes in technology present not‐for‐profit performing arts organizations with both opportunities and challenges for engaging and attracting audiences. With its emphasis on deep engagement with a select group of users, the Internet “long tail” presents a natural application for this sector; however, performing arts groups must grapple with developing the most optimal web‐based content for their particular organizational needs. This paper analyzes the use of web‐based video offerings used currently by professional symphony orchestras in the United States and Canada. One third of observed websites included video of some kind (including a wide‐array of content), while roughly half of that number focused on promoting concerts scheduled for the future. An even smaller number have embraced the practice of presenting performing arts previews (after the longstanding tradition within the film industry) as a purposeful kind of paratext, including representational elements of the work, the performers, and the overall concert context. A conceptual frame of video types is presented and discussed, with particular attention to the preview format. The research on film previews as an analogous vehicle is evaluated including the tradition of telling the incomplete story, while also promoting the movie. The research on paratexts in relation to books, theatre programs, and film trailers is reviewed and the case is made for web‐based performing arts previews as an emergent genre within the paratext conceptual frame. Specific video examples currently in use illustrate theory and concepts presented in the paper. Copyright © 2010 John Wiley & Sons, Ltd.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.016
GPT teacher head0.297
Teacher spread0.281 · 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 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

Citations28
Published2010
Admission routes2
Has abstractyes

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