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PLANEJAMENTO PARA O USO PÚBLICO NO PARQUE NATURAL MUNICIPAL DA SERRA DO RELÓGIO, GUARANI, MG

2013· article· pt· W3110621398 on OpenAlexaff
Valéria Fernandes Rezende, Raquel Fernandes Rezende

Bibliographic record

VenueAnais Uso Público em Unidades de Conservação/Anais ... Encontro Fluminense Uso Público em Unidades de Conservação · 2013
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O trabalho faz uma reflexão sobre a importância do planejamento do uso público para a prática de atividades turísticas em unidades de conservação (UCs), com vistas a assegurar que estas proporcionem sensibilização dos visitantes para a conservação da natureza e, até mesmo, para mudanças de hábitos que contribuirão para o menor comprometimento possível dos recursos naturais. Será apresentado um breve relato da experiência de elaboração do Plano de Uso Público contido no Plano de Manejo do Parque Natural Municipal da Serra do Relógio (PNMSR) Município de Guarani, Estado de Minas Gerias. Neste sentido, foi possível concluir que pensar, criar e implementar planos, programas, projetos e ações, como instrumentos de planejamento e gestão para o uso público em UCs, não é tarefa simples. No estudo aqui relatado isso fica evidente, tendo em vista o fato de que a UC estar em fase final de seu processo de criação e ainda não experimentar um processo de visitação formal.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.157
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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 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
Published2013
Admission routes1
Has abstractyes

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