Comunidad discursiva y felicidad en la publicidad de Coca-Cola en tiempos de COVID-19
Bibliographic record
Abstract
En el presente artículo se aborda la construcción de una comunidad discursiva desde la publicidad de Coca-Cola, así como las modificaciones en su discurso persuasivo durante la pandemia del COVID-19. Se analizan, en primer lugar, cinco anuncios emitidos durante la pandemia. Posteriormente, se delimitan los rasgos discursivos que comparten estas obras, que revelan la intensificación del discurso mítico, presente ya de manera moderada en campañas anteriores. Este hecho permite valorar cabalmente esta serie de anuncios a la luz de las teorías de Gilbert Durand. Desde el punto de vista formal, permite explicar los procesos de reelaboración que se operan sobre la memoria discursiva presente en este corpus, como los que se dan en la identificación de la marca con la felicidad. Desde el punto de vista referencial, propicia que sea contextualizada la presencia de símbolos culturalmente recurrentes, que, influidos por las circunstancias, se concretan en lo que denominamos Resilience Halo.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".