Arquitectura de la crisis sanitaria: adaptaciones arquitectónicas en Lima frente a la pandemia del COVID-19 (2020)
Bibliographic record
Abstract
La presente investigación analiza las adaptaciones arquitectónicas de tres diferentes \nobras en Lima como respuesta a la pandemia del COVID-19. Esta investigación también \nidentifica los aciertos y desaciertos en las adaptaciones de cada caso, así como \npensar en la posibilidad de replicar los cambios en otros contextos y poner en valor la \nversatilidad de los edificios desde su diseño y programa. Para entender la oportunidad \nque supone explorar sobre arquitectura modular y la modificación planificada de la infraestructura \npreexistente, se tomaron en cuenta ejemplos variados. Desde la adaptación \nde las viviendas hasta la construcción de anexos, se toman como casos de estudio \nel Hospital Rebagliati (1956), el Anexo del Hospital San Isidro Labrador de Ate \n(2003) y la Villa Panamericana (2019). Finalmente, se invita a una reflexión y especulación \ndel cambio de la arquitectura y las ciudades post-pandemia donde actualmente \nno existe una relación entre la posibilidad de adaptar estructuras no planificadas ni \nacondicionadas de manera específica a situaciones sanitarias.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".