La crisis del covid: Narrativas del Paisaje Lingüístico de Madrid
Bibliographic record
Abstract
Abstracta Este trabajo se centra en el análisis del régimen la discursividad afectiva para la defensa del bien común, que surgió durante la prepandemia y la pandemia del covid-19. Se llevará a cabo a través del análisis exploratorio y cualitativo de los marcadores léxico-semánticos y semióticos multimodales que están presentes en el paisaje de Madrid. También se analizarán las principales temáticas que confluyen dentro de dicho régimen discursivo: el duelo, las crisis multinivel y la solidaridad. Además, se estudiarán las estrategias que se han empleado en la construcción del paisaje covídico: la (re)contextualización, la descontextualización, la resemantización, la resignificación, los neologismos, y las figuras retóricas multidiscursivas. Los resultados indican la importancia de la geosemiótica y el espacio a la hora de recrear nuevos significados en esta crisis global.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".