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Record W4200113648 · doi:10.18542/nra.v9i3.11726

AVALIAÇÃO DA ARBORIZAÇÃO URBANA NO MUNICÍPIO DE MARACANÃ, PARÁ

2021· article· pt· W4200113648 on OpenAlexaff
Sérgio Brazão e Silva, Jessivaldo Rodrigues Galvão, Naiane Franciele Barreira de Melo, Hugo Manoel Santos Costa

Bibliographic record

VenueNova Revista Amazônica · 2021
Typearticle
Languagept
FieldEnvironmental Science
TopicUrban Arborization and Environmental Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

A arborização urbana é representada pela cobertura vegetal de porte arbóreo existente nas cidades. Desta forma, este estudo visa avaliar a arborização existente em vias, sua relação com a cidade e apresentar sugestões para seu incremento. Foi realizado levantamento qualitativo da arborização de vias na área urbana do município de Maracanã/Pará, em cinco bairros, assim como avaliação dos vegetais e do estado do passeio onde se encontram. A avaliação foi realizada em calçadas com presença de indivíduos vegetais, em calçadas estreitas, se apresentando em intervalos de classes. Segundo o inventário levantado, a maioria das calçadas encontrava-se no intervalo de classe ? 2m. Desta forma, o crescimento desordenado e acelerado da cidade permitiu a utilização das calçadas para plantio de árvores de porte inadequado. A respeito da arborização urbana não há nenhuma instituição municipal responsável por um plano de arborização e manutenção adequada para o município.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.265
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueNova Revista AmazônicaSame topicUrban Arborization and Environmental StudiesFrench-language works237,207