Intertextuality and recontextualization in music: an analysis of songs
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".