Políticas públicas de vivienda: impactos y limitaciones del Programa ProCreAr
Bibliographic record
Abstract
Se analizan los impactos y limitaciones del Programa de Crédito Argentino del Bicentenario para la Vivienda Única Familiar (ProCreAr), política pública contracíclica que buscó combinar la dinamización de la economía y la generación de empleo con el acceso a la vivienda por parte de los sectores medios. La ausencia de una política clara en la producción y la regulación del suelo urbano explica la existencia de desacoples entre las dimensiones macroeconómicas y territoriales del programa, que se expresan no sólo en el déficit de suelo urbano al momento de su implementación sino también en los efectos urbanos de la propia implementación. Se discuten además los desafíos y las potencialidades que el hábitat –como realidad multidimensional que incluye factores económicos, sociales y ambientales- tiene para el desarrollo social y productivo del país y el lugar que la ciencia y la tecnología podrían ocupar en esos procesos.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".