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Record W3169521311 · doi:10.23939/sjs2021.01.020

MUSICAL CONTENT AS A MEDIA TEXT

2021· article· en· W3169521311 on OpenAlexaff
Zoriana Haladzhun, Oleksandr Kondrashov

Bibliographic record

VenueBulletin of Lviv Polytechnic National University journalism · 2021
Typearticle
Languageen
FieldComputer Science
TopicScientific Research and Philosophical Inquiry
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsSign (mathematics)SemioticsMusicalPhenomenonMeaning (existential)Focus (optics)LinguisticsComputer scienceRelevance (law)Space (punctuation)Content (measure theory)LiteratureEpistemologyArtMathematicsPhilosophyPhysics

Abstract

fetched live from OpenAlex

The relevance of the chosen subject area is determined primarily by the complexity of structural, semantic and communicative organization of the media text phenomenon due to its sign character, plurality of sign systems, correlation of the author and his audience in terms of understanding and decoding textual information, lying in the planes of different approaches to defining the media text concept as well as its analysis. From the viewpoint of modern semiotics, each sign holds a special meaning, is used to store and transmit information, functions in a sign situation, interacts with other elements of the sign system, has clearly defined boundaries, which allows it to be separated from other signs, while musical content is a system of signs expressed by notes that reflect the pitch and duration of the sound, where the note (from Latin, nota, «sign») is a conventional graphic sign, located on the note state and indicating the pitch and relative duration of any sound (in some cases it is also a playback method). Musical semiotics emerged later than other areas of semiotics. The researchers are still debating whether music is a means of transmitting, storing and processing information. Nowadays, musical content as a media text constitutes an integral part of the sound space, in which the role of music does not fundamentally change, as it continues to fulfill a specific function of conveying artistic information that can be emotionally and intellectually consumed, processed and compiled by using modern media technology. Although any media text has a clear focus on the given audience and the specific result, which leaves no room for perception options, it still induces changes in the individual worldview precisely because of the impact on the recipient’s emotions. The only peculiarity of the sound of musical content in the media is that it usually ceases to look like an integral work, and often has a quotation form to influence the viewer or listener as much as possible, in order to form a positive/negative perception of visual/audio object. The variety of modern media makes it possible to broadcast autonomous music (integral, complete musical works, primacy) and applied (discrete, secondary, compiled and subordinate to the text), which carries artistic information, models behavior and influences emotions.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.006
Scholarly communication0.0110.008
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.076
GPT teacher head0.274
Teacher spread0.198 · 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 designTheoretical or conceptual
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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