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Record W3133184569 · doi:10.7358/ijtl-2016-004-medi

Rhetoric, Music and Philosophy in 88 Constellations for Wittgenstein by David Clark: Intermedial and Intertextual Practices

2021· article· en· W3133184569 on OpenAlexaboutno aff
Nohelia Meza, Giovanna Di Rosario

Bibliographic record

VenueInternational Journal of Transmedia Literacy (IJTL) · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphysicsRhetoricNarrativeSemioticsAestheticsLiteratureArtPhilosophySociologyLinguisticsEpistemology

Abstract

fetched live from OpenAlex

88 Constellations for Wittgenstein (to Be Played with the Left Hand) (2008) by Canadian artist David Clark is a web-based Flash creation that explores the life and works of Austrian-born philosopher Ludwig Wittgenstein. As the title suggests the digital work should be “played with the left hand”, this means that there are additional semiotic units (e.g. videos, sounds, images, linguistic texts) hidden in the metaphysical strings of the constellations that the reader can add to the narrative by means of interaction and manipulation. We argue that by discovering unexplored paths and creative unknowns the reader encounters examples of gestural melodic manipulation that will consequently lead to the creation of visual music. The visual music produced by the secret of the Left Hand, whose notes (piano keys) are the gestural enunciation of different discourses and diverse thematic, expose the potential intermedial literary characteristics of the text. Our analytical approach will demonstrate how rhetoric and digital technologies join to visually express philosophical concepts.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.026
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.343
Teacher spread0.314 · 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
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
Published2021
Admission routes1
Has abstractyes

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