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Record W2273508723 · doi:10.14195/0871-1623_33_10

Contributo dos espaços verdes para o bem-estar das populações – estudo de caso em Vila Real

2015· article· pt· W2273508723 on OpenAlexaboutno aff
Joana Silva, Helena Nogueira

Bibliographic record

VenueCadernos de Geografia · 2015
Typearticle
Languagept
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

O conceito de saúde é atualmente entendido de uma forma positiva, acentuando a importância dos recursos sociais e pessoais, bem como das atividades físicas (CARTA DE OTTAWA, OMS, 1986). Considera-se também que a saúde pode ser promovida através de estratégias e ações não exclusiva, nem fundamentalmente, biomédicas, direcionadas a um conjunto alargado de determinantes sociais da saúde (CARTA DE OTTAWA, OMS, 1986). Os espaços verdes são hoje vistos como espaços promotores de recreio e lazer, propícios ao desenvolvimento de atividades diversas, como jogos, desporto, convívio e interação social, contribuindo para o prazer e bem-estar da população. O presente trabalho procura avaliar o contributo dos espaços verdes urbanos da cidade de Vila Real na melhoria da qualidade de vida da sua população. Avaliam-se os dois EVU mais importantes da cidade, o Parque do Corgo e o Parque Florestal.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.038
GPT teacher head0.311
Teacher spread0.273 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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