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Intertextuality and recontextualization in music: an analysis of songs

2024· article· en· W4402902127 on OpenAlexaff
Fabielle Rocha Cruz

Bibliographic record

VenuePalimpsesto · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntertextualityArtLiteratureLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Critical Discourse Analysis is an area in constant development, especially with the relevance of multimodal texts, which are becoming increasingly frequent due to the presence of technology. Considering the significance of CDA in applied linguistics and other areas, this article aims to present the concepts of intertextuality and recontextualization based on the use of music, considering that many texts are based on other works. With the conceptualization of these two essential elements in the area of Critical Discourse Analysis, as well as the understanding of multimodality as texts that use different modes to converge their meanings, the article presents the analysis of excerpts from three songs to demonstrate the applicability in a context diverse and non-academic, as CDA is commonly attributed to research. The results indicate that some songs create meaning by constructing lyrics with literary, historical, cultural, and journalistic references inserted into the lyrics through recontextualization and intertextuality.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.157
GPT teacher head0.288
Teacher spread0.131 · 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.

Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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