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Record W1576685120 · doi:10.14198/ingeo2006.41.08

Lotes y conjuntos residenciales como potenciales generadores de impactos de vecindad

2006· article· es· W1576685120 on OpenAlexaff
José Augusto de Lollo, Sérgio Antonio Röhm

Bibliographic record

VenueInvestigaciones Geográficas · 2006
Typearticle
Languagees
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesGeographyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La proposición o instalación de parcelamientos y conjuntos residenciales en Brasil, es objeto de instrumentos de gestión tanto del punto de vista legal como técnico desde hace tiempo. Tales instrumentos prevén restricciones, limitaciones, y reglamentaciones, cuyo interés ha sido proteger los patrimonios natural y cultural y verificar la adecuación de la propuesta a preceptos urbanísticos. En la mayoría de los casos tales leyes son aplicadas solamente a las actuaciones de gran porte. Con la promulgación de Ley 10.257/2001, impactos ambientales, antes desconsiderados pasan a tener importancia, obligando los municipios brasileños a elaborar o revisar sus planes directores hasta Octubre de 2006. Nuevas categorías de impacto deben ser consideradas y las técnicas de identificación y evaluación de tales impactos en áreas urbanas deben ser revisadas, para dar cumplimento a las exigencias actuales y futuras de la legislación municipal. Propuestas de conjuntos habitacionales de menor porte, antes dispensadas de presentar tales estudios, deben ahora ser cuidadosamente evaluadas. Sólo la consideración de todos los aspectos posibles de modificación permitirá evaluaciones apropiadas de tales propuestas de ocupación, y la consecuente reducción de impactos para la población.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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
Published2006
Admission routes1
Has abstractyes

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