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Record W930932616 · doi:10.3232/gcg.2015.v9.n1.04

Análise da homogeneidade dos indicadores sociais dos países da América Latina e do Caribe

2015· article· pt· W930932616 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

VenueJournal of Globalization Competitiveness and Governability · 2015
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicEconomic and Technological Innovation
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

Este estudo analisa o nível de homogeneidade entre os indicadores sociais divulgados pelos países pertencentes à Comissão Econômica para a América Latina e o Caribe. Analisaram-se os indicadores sociais do período de 2010 a 2012 disponibilizados pelo Instituto Brasileiro de Geografia e Estatística de 18 dos 44 países membros, com aplicação da Análise de Correspondência. Os resultados mostram que as variáveis selecionadas encontram-se agrupadas em duas dimensões, Qualidade de vida e Qualidade nutricional. Identificaram-se quatro grupos com características homogêneas no mapa perceptual de categoriais das variáveis e quatro grupos de países com características similares em seus indicadores sociais no mapa perceptual de objetos por países.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.268
Teacher spread0.208 · 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