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Record W2943586736 · doi:10.24215/26183188e018

Políticas públicas de vivienda: impactos y limitaciones del Programa ProCreAr

2019· article· es· W2943586736 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiencia, tecnología y política/Ciencia, tecnología y política · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Urban Studies
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.009
Science and technology studies0.0040.016
Scholarly communication0.0020.002
Open science0.0070.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.007

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.

Opus teacher head0.016
GPT teacher head0.323
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it