MétaCan
Menu
Back to cohort
Record W4320926265 · doi:10.4000/espacoeconomia.22916

Espaço, Economia e os novos desafios do Brasil

2022· article· pt· W4320926265 on OpenAlexaff
Leandro Dias de Oliveira

Bibliographic record

VenueEspaço e Economia · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Em 30 de dezembro de 2022, Jair Bolsonaro, nos estertores de seu mandato de Presidente da República do Brasil, decidiu deixar o país para não cumprir os ritos de passagem do cargo para Luís Inácio Lula da Silva, eleito com mais de 60 milhões de votos para exercer, pela terceira vez, a presidência. Ele seguiu os conselhos dos seus advogados, uma vez que logo perderia os privilégios jurídicos da condição de chefe do executivo. Assim, por volta das 14 horas, partiu do Aeroporto Internacional de ...

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: Empirical · Consensus signal: none
Teacher disagreement score0.340
Threshold uncertainty score0.677

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 studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.036
GPT teacher head0.277
Teacher spread0.242 · 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
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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueEspaço e EconomiaSame topicUrban Development and Societal IssuesFrench-language works237,207