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Avanços e limites das políticas de desenvolvimento urbano no Brasil (1988-2013)

2014· dissertation· pt· W4248478998 on OpenAlexaboutno aff
Raphael Brito Faustino

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsnot available
FundersFörsvarshögskolanFundação Nacional de SaúdeSwedish National Space AgencyScience Foundation Ireland
KeywordsUrbanizationContext (archaeology)Urban planningInstitutionalisationInequalityGovernment (linguistics)Economic growthPublic policyQuarter (Canadian coin)Political scienceGeographyDevelopment economicsWelfare economicsEconomics

Abstract

fetched live from OpenAlex

The urbanization process in Brazil advanced in a disorderly way, which resulted in a severe urban crisis in the last quarter of the last century. The urban problem has deteriorated from the economic crisis that occurred in the 1980s and was not resolved during the economic recovery of the 2000s. Many problems related to the process of urbanization still occur, with some differences depending on the size of cities, but also linked to the pattern of public policies adopted in the area of urban development. Since 1988, many institutional and regulatory frameworks have been defined for urban development. Also, the urban policy had a significant increase of the funds invested. However, these policies had not provided a consistent improvement of living conditions in cities. The aim of this study is analyze the trajectory of institutional evolution, the approval of regulatory frameworks and the main programs for areas of housing, sanitation and urban mobility. To this end, in addition to examining the official documents of the federal government about the guidelines of these programs, the study also includes an evaluation of the results obtained from the main indicators available. It is evident that the process of institutionalization and regulation of urban development policies were an important step forward, but not enough to modify the brazilian urban context. The urban problems linking up with imbalances in the brazilian capitalist development, that is characterized by deep social inequality, which reflects in the cities.

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.012

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 head0.032
GPT teacher head0.337
Teacher spread0.305 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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