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Record W2528427483 · doi:10.5380/rf.v46i3.38601

POTENCIAL DE ATRAÇÃO DE PESSOAS DOS MUNICÍPIOS NA REGIÃO DO SEGUNDO PLANALTO PARANAENSE

2016· article· pt· W2528427483 on OpenAlex

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

VenueFLORESTA · 2016
Typearticle
Languagept
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsMinistère des Transports
FundersThünen-Institut
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Os deslocamentos de passageiros no transporte coletivo intermunicipal de uma determinada região representam um padrão de fluxo ou de interação entre os municípios, sendo que essas relações proporcionam uma dinâmica regional. No estudo observaram-se especificamente os municípios de Telêmaco Borba, Ortigueira, Sapopema, Curiúva, Figueira, São Jerônimo da Serra, Imbaú, Reserva, Tibagi e Ventania. Para a aplicação da modelagem proposta por Isard (1975), se utilizou das distâncias entre os municípios em estudo, suas respectivas populações e os fluxos de passageiros observados, que ocorreram no ano de 2010, no transporte coletivo intermunicipal. Os Fluxos Observados (Iij) no transporte coletivo intermunicipal são diretamente proporcionais ao tamanho das massas (Pi) e inversamente proporcionais a distância que as separa, e pode ser expressa por uma força central, atrativa, hierarquicamente organizada pelo tamanho das populações e as distâncias que as separa. O município que apresentou maior Potencial de Atração (Vi) de pessoas foi Telêmaco Borba, seguido de Reserva, Ortigueira, Tibagi, Curiúva.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.216
Teacher spread0.192 · 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