Impacto Territorial de la Pandemia, forma urbana, y escenarios de rediseño de barrios
Bibliographic record
Abstract
El presente artículo responde a la convocatoria sobre Diseño y territorio social: Pasajeros en Tránsito donde se plantea un momento de transformaciones que provocan inestabilidad y modifican la vida cotidiana, en particular se recoge la discusión del impacto de la pandemia que, ha alterado el funcionamiento globalmente, pero develando mayor vulnerabilidad vinculada a desigualdades de las grandes ciudades, en especial en América Latina. Frente a los cuestionamientos sobre el futuro de la ciudad y, por ende, interpelan todas las disciplinas que convergen en su diseño, gestión y estudio, este artículo pone foco en el impacto territorial de la pandemia, discute las encrucijadas abiertas sobre forma urbana (desafío de diseño de una ciudad más sostenible del futuro) y, sobre los barrios o tejido socio espacial que estructura y desagrega las ciudades a escala de comunidades (desafíos y oportunidades de rediseño y reconstrucción de las bases de resiliencia e integración dentro de la urbe).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".