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Record W4310885656 · doi:10.55449/congea.13.22.xi-018

AS PEQUENAS CIDADES DO VALE DO PARAÍBA EM UM CENÁRIO DE MUDANÇAS CLIMÁTICAS

2022· article· pt· W4310885656 on OpenAlex
Guilherme Dias Pereira, Silvia Zanirato

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnais Congresso Brasileiro de Gestão Ambiental · 2022
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsGeographyEnvironmental science

Abstract

fetched live from OpenAlex

Estudar pequenas cidades do ponto de vista das mudanças climáticas é de extrema importância uma vez que normalmente essas cidades são deixadas de lado no planejamento regional e das pesquisas acadêmicas, que muitas vezes se voltam para grandes ou médias cidades.O objetivo deste trabalho é apresentar, de forma não exaustiva, os principais desafios ambientais, sociais e político/institucionais identificados nos municípios de Santo Antônio do Pinhal e São Bento do Sapucaí, localizados na Região Metropolitana do Vale do Paraíba e Litoral Norte (RMVPLN), que caracterizam vulnerabilidade socioambiental em um cenário de mudanças climáticas.Para atingi-lo foi necessário realizar revisão bibliográfica dos principais conceitos envolvendo mudanças climáticas e pequenas cidades e levantamento de dados secundários para as três dimensões.Identificou-

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.

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), Science and technology studies, 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 score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.020
GPT teacher head0.273
Teacher spread0.253 · 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