Presentation: Covid-19 crisis, public policy responses and socioeconomic development: an introduction
Bibliographic record
Abstract
El texto aborda diversas dimensiones de la crisis de la Covid-19 y sus consecuencias económicas, políticas y sociales en todo el mundo. Inicialmente, se destaca la magnitud del impacto económico de la pandemia, con énfasis en las políticas monetarias y fiscales adoptadas por los países para enfrentar los desafíos a corto y largo plazo. También se discute la influencia de la crisis en la oferta y demanda, así como sus efectos sobre el desempleo, la pobreza y la desigualdad de ingresos. Además, se abordan los impactos en la productividad y las cadenas de producción, destacando sectores como el turismo y el comercio minorista. El texto también explora cuestiones geopolíticas, como la integración regional en América del Sur, y políticas, como el enfoque del gobierno de Estados Unidos en relación con la pandemia. Por último, se examinan temas como la inflación, las políticas de recuperación económica y la regulación financiera. En resumen, el texto proporciona un análisis exhaustivo de las ramificaciones de la crisis de la Covid-19 en diversos aspectos de la sociedad 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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.076 | 0.011 |
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".