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Media as Mediator: Intertextual Narrative in Digital and Performative Presentation

2014· article· en· W1866948801 on OpenAlexvenueno aff
Artemis Preeshl

Bibliographic record

VenueCross-cultural communication · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsTamilDanceNarrativePerformative utterancePresentation (obstetrics)ConversationContext (archaeology)ArtLiteratureMythologyArchetypeAestheticsVisual artsSociologyHistoryArchaeologyCommunication

Abstract

fetched live from OpenAlex

“Media as Mediator” tells a tale in two mediums: classical South Indian and Western dance in the seven-dance suite, Liquid Gems , and the fiction Tamil film, Pancha Ratna Media as Mediator was an intervisual presentation that explored sacred characters in a contemporary story in two- and three-dimensions. Intervisuality compares and interprets visual images in a cultural context. This concept enhanced contemporary approaches to classical Hindu myths in Liquid Gems and Pancha Ratna . Media sources brought classical Bharatanatyam dance and Bollywood-style songs into conversation with Western dance forms in the dance suite, Liquid Gems , and the Tamil fiction film, Pancha Ratna. The story focuses on women’s issues in diverse marriage arrangements, dowry and murder/suicide. Contemporary media reports influenced the way in which sacred archetypes inform their modern counterparts in the narrowcast narrative.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.020
Scholarly communication0.0190.017
Open science0.0010.011
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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 designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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