MétaCan
Menu
Back to cohort
Record W3095971407 · doi:10.5151/viicincci-40

O setor comercial em Fortaleza: uma análise sob o olhar do licenciamento e da gestão da informação

2020· article· pt· W3095971407 on OpenAlexaff
Águeda MUNIZ, M.Sebastián Hissa, M. de L. Pinheiro

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsBusinessIndustrial organizationWelfare economicsEnvironmental economicsEconomics

Abstract

fetched live from OpenAlex

ResumoO artigo destaca a importância da gestão inteligente da informação para a análise da dinâmica econômica e urbanística dos centros urbanos a serviço do gestor público e do cidadão.No estudo, é analisada a evolução do licenciamento em Fortaleza a partir de plataformas implementadas na gestão pública da capital cearense nos últimos anos.Por meio da análise dos dados para o setor comercial em Fortaleza, propõe-se demonstrar as possibilidades que a ferramenta de gestão inteligente dos dados proporciona para a tomada de decisão do gestor público, a fim de subsidiar o planejamento urbano e econômico, e do setor privado, para a orientação de investimentos na esfera produtiva.

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)0.002
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.588

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0040.003
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.167
GPT teacher head0.362
Teacher spread0.195 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicBusiness and Management StudiesFrench-language works237,207