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Record W7142083993 · doi:10.19083/tesis/687095

Vivienda multifamiliar de alta densidad con usos mixtos comerciales en Miraflores

2025· dissertation· W7142083993 on OpenAlexaboutno aff
Camila Yllari Tipacti Via

Bibliographic record

VenueUniversidad Peruana de Ciencias Aplicadas (UPC) · 2025
Typedissertation
Language
FieldSocial Sciences
TopicLatin American Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHabitabilityMetropolitan areaUrban planningQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

El presente trabajo de investigación plantea el diseño de una vivienda multifamiliar de alta densidad con un componente significativo de usos mixtos comerciales en el distrito de Miraflores, Lima. La creciente demanda de vivienda en esta zona, junto con el incremento del valor del suelo, ha generado la necesidad de soluciones arquitectónicas que optimicen el uso del espacio y potencien la integración de diversas funciones urbanas. Este estudio analiza criterios urbanos, formales, funcionales, bioclimáticos y normativos para la implementación de este tipo de edificación, tomando como referencia proyectos nacionales e internacionales. Se emplea una metodología basada en el análisis documental y comparativo, incluyendo normativas urbanísticas, datos estadísticos y estudios de mercado, con el fin de establecer lineamientos de diseño eficientes y sostenibles. Además, se evalúa la viabilidad de integrar espacios comerciales que fomenten la interacción social y contribuyan a la dinámica económica local. Los resultados del estudio evidencian que la combinación de vivienda multifamiliar con usos mixtos en Miraflores no solo responde a la demanda habitacional, sino que también favorece la creación de comunidades más compactas y funcionales. La investigación aporta criterios de diseño que buscan optimizar el aprovechamiento del suelo, mejorar la accesibilidad y promover la sostenibilidad en el desarrollo urbano del distrito.

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 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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.005
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.314
Teacher spread0.296 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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